Interior Designer Jobs in Lebanon

<p><strong>Job Overview</strong></p><p>We are seeking a highly motivated Copywriting Manager to lead the development and execution of compelling, high‑impact copy across multiple channels for our diverse client base.&nbsp;</p><p>This freelance/project role is ideal for a proactive writer with a keen eye for detail, strong storytelling capabilities, and the ability to manage deadlines in a fast-paced environment.&nbsp;</p><p>Based in Beirut, Lebanon, the successful candidate will collaborate with marketing, design, and product teams to ensure brand voice consistency and measurable content performance.</p><p>&nbsp;</p><p><strong>Key Responsibilities and Duties</strong></p><ul><li>Develop and manage a unified copywriting strategy that aligns with brand guidelines and campaign objectives.</li><li>Write clear, engaging, and persuasive copy for websites, landing pages, emails, social media, ads, product descriptions, and other marketing assets.</li><li>Edit and optimize content for readability, SEO, tone, and audience relevance, ensuring consistency across all channels.</li><li>Collaborate with designers, strategists, and clients to conceptualize and execute compelling content concepts.</li><li>Provide mentorship and feedback to junior writers; manage freelance contributors when applicable.</li><li>Establish and enforce editorial calendars, timelines, and quality standards; track project progress and deliverables.</li><li>Perform ongoing content audits and performance analysis to inform optimization and future campaigns.</li><li>Adapt copy for localization when necessary and maintain sensitivity to cultural nuances relevant to the Lebanese and regional market.</li></ul><p>&nbsp;</p><p><strong>Qualifications and Requirements</strong></p><ul><li>High school diploma or equivalent; relevant certifications or courses in copywriting, content marketing, or related fields are a plus.</li><li>Entry-level to early-career experience in copywriting, content creation, or marketing roles; freelancing experience is desirable.</li><li>Excellent writing, editing, and proofreading skills with a strong grasp of grammar and style.</li><li>Ability to adapt tone and voice to different brands and audiences; strong storytelling capability.</li><li>Proficiency in English; Arabic language skills are advantageous for local content and localization efforts.</li><li>Solid understanding of digital marketing concepts, SEO best practices, and content performance metrics.</li><li>Strong organizational skills, attention to detail, and the ability to manage multiple projects simultaneously under tight deadlines.</li><li>Proficient with content management systems, Google Workspace, and common collaboration tools; basic familiarity with SEO tools is a plus.</li><li>Ability to work independently in Beirut, Lebanon, with reliable internet connectivity; this is a freelance/project-based role.</li></ul><p>&nbsp;</p><p><strong>Required Skills</strong></p><ul><li>Copywriting and storytelling</li><li>Editing and proofreading</li><li>Brand voice development and consistency</li><li>SEO copywriting and on-page optimization</li><li>Content planning and editorial management</li><li>Communication and collaboration</li><li>Time management and deadline adherence</li></ul><p>&nbsp;</p><p><strong>Benefits and Perks</strong></p><ul><li>Flexible freelance/project engagement with potential for ongoing collaboration.</li><li>Competitive compensation aligned with scope and deliverables.</li><li>Exposure to diverse brands and industries, with opportunities for professional growth.</li><li>Remote collaboration with a supportive, creative team; occasional in-person meetings in Beirut may be arranged.</li><li>Experience in shaping brand narratives and driving content performance across channels.</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span></span><p><b>Job Summary</b><br></p><br><p>We are seeking a Senior Mechanical Engineer to oversee the design, coordination, and execution of mechanical systems for construction projects. The role requires strong technical expertise in HVAC, plumbing, and firefighting systems, with a particular focus on site supervision, installation, and execution.<br></p><br><p>The successful candidate will be responsible for ensuring that mechanical works are executed in accordance with approved drawings, project specifications, applicable codes, and quality standards, while coordinating with other disciplines and providing technical guidance to junior engineers.<br></p><br><p><b>Key Responsibilities</b><br></p><br><ul><li>Supervise and monitor the installation and execution of HVAC, plumbing, and firefighting systems on-site, ensuring compliance with approved designs, specifications, and project requirements.<br></li><li>Review, prepare, and coordinate mechanical shop drawings, ensuring accuracy and consistency with design documents and site conditions.<br></li><li>Perform mechanical design calculations and technical assessments to ensure system efficiency, reliability, and compliance with applicable standards.<br></li><li>Review mechanical designs, drawings, material submittals, and technical documentation.<br></li><li>Coordinate with architectural, structural, electrical, and other project teams to resolve technical issues and avoid clashes between disciplines.<br></li><li>Monitor site progress, workmanship, and installation quality, ensuring compliance with project schedules, safety requirements, and quality standards.<br></li><li>Identify and resolve technical issues arising during design development and site execution, proposing practical and cost-effective solutions.<br></li><li>Ensure compliance with French standards and relevant international codes and regulations applicable to mechanical systems.<br></li><li>Lead and supervise junior mechanical engineers, providing technical guidance, reviewing their work, and ensuring proper coordination and follow-up.<br></li><li>Liaise with contractors, consultants, suppliers, and other project stakeholders to facilitate the smooth execution of mechanical works.<br></li><li>Conduct site inspections and follow up on testing, commissioning, and handover activities as required.<br></li><li>Prepare technical reports and provide regular updates on site progress, outstanding issues, and corrective actions.<br></li></ul><br><span>Requirements</span><ul><li>Bachelor's degree in Mechanical Engineering.<br></li><li>Minimum 7 years of relevant experience in mechanical engineering, preferably in building construction or MEP projects.<br></li><li>Strong hands-on experience in HVAC, plumbing, and firefighting systems, particularly in site supervision and execution.<br></li><li>Proven experience in preparing, reviewing, and coordinating mechanical shop drawings.<br></li><li>Solid knowledge of mechanical design principles, engineering calculations, and system sizing.<br></li><li>Proficiency in Autodesk Revit (BIM) and AutoCAD.<br></li><li>Good knowledge of French standards, in addition to relevant international codes and regulations governing mechanical systems.<br></li><li>Experience leading or supervising junior engineers and coordinating their technical activities.<br></li><li>Strong communication, problem-solving, and coordination skills.<br></li><li>Ability to coordinate effectively with multidisciplinary teams and manage competing site and engineering priorities.<br></li><li>Good organizational skills, attention to detail, and a practical, hands-on approach to engineering challenges.<br></li></ul><br> </div>

<p><strong style="font-size: 11px;">About the Job:</strong></p><p>We're looking for an AI-first Senior Engineer to help move our team from light AI use to agent-driven, multi-agent development. You'll build AI-powered product features end to end, work agent-first in your own day-to-day development, and share what works so the rest of the team can follow. You're also a strong full-stack engineer with modern stack experience, ready to play a key role in an upcoming ground-up rebuild (v2) of our platform while keeping our existing Java/Oracle platform running in the meantime.</p> <p><b><br></b></p><p><b>AI-first development:</b></p> <ul> <li>Be a hands-on early adopter: try agentic and multi-agent development workflows on real work, and find what works for our codebase and team.</li> <li>Share what you learn by demonstrating workflows, contributing best practices and documentation, and helping teammates get up to speed.</li> <li>Apply AI across the development lifecycle, from coding and testing to code review, CI/CD, and work on our legacy codebase and platform migration.</li> </ul> <p><b><br></b></p><p><b>AI product engineering:</b></p> <ul> <li>Design, build, and ship AI-powered product features end to end, such as LLM-based assistants and chatbots, summarization, translation, classification, predictive analytics, personalization, anomaly detection, and intelligent automation.</li> <li>Build LLM applications and agents using prompt engineering, retrieval-augmented generation (RAG), tool/function calling, structured outputs, and multi-step agentic workflows.</li> <li>Evaluate, select, and integrate AI models, APIs, and frameworks into our applications and internal tooling, balancing quality, latency, and cost for each use case.</li> <li>Set up evaluation and quality practices for AI features: test datasets, automated evals, regression testing of prompts and models, and production monitoring for accuracy, latency, and cost.</li> <li>Make AI features safe and reliable with guardrails, data privacy and PII handling, prompt-injection mitigation, and sensible fallback behavior.</li> <li>Partner with product teams to identify customer-facing use cases where AI can drive measurable value and competitive advantage, and rapidly prototype to validate them.</li> <li>Stay current with the fast-moving AI landscape (models, tools, and techniques) and bring practical improvements into the product and the team.</li> </ul> <p><b><br></b></p><p><b>Full-stack engineering:</b></p> <ul> <li>Play a key role in a ground-up rebuild (v2) of our platform on a modern stack, designed from the start for AI-first development.</li> <li>Maintain and enhance our existing platform (JSP, Java Spring, Oracle Database, PL/SQL) through the transition and help plan and execute the migration to v2.</li> <li>Design and implement robust, scalable, and secure web applications.</li> <li>Collaborate with cross-functional teams to define, design, and implement new features.</li> <li>Ensure the performance, quality, and responsiveness of applications.</li> <li>Identify and resolve bottlenecks and bugs.</li> <li>Help maintain code quality, organization, and automation.</li> <li>Participate in code reviews.</li> <li>Implement and manage continuous integration and continuous delivery (CI/CD) pipelines, including for AI-powered services.</li> </ul><p><b><br></b></p><p><b>AI engineering:</b></p> <ul> <li>Proven experience designing, building, and deploying AI/LLM-powered features to production (e.g., chatbots and assistants, summarization, recommendation engines, predictive analytics, personalization).</li> <li>Hands-on experience with LLM APIs and platforms (e.g., OpenAI, Anthropic, AWS Bedrock, AWS SageMaker), including prompt engineering, tool/function calling, and structured outputs.</li> <li>Experience building retrieval-augmented generation (RAG) pipelines, including embeddings, chunking, and vector search (e.g., pgvector, OpenSearch, Oracle AI Vector Search).</li> <li>Familiarity with AI orchestration and agent frameworks (e.g., Spring AI, LangChain/LangGraph, LlamaIndex) and protocols such as the Model Context Protocol (MCP).</li> <li>Experience evaluating and monitoring AI systems: building eval datasets, measuring output quality, and tracking latency, cost, and failure modes in production.</li> <li>Understanding of AI risks and mitigations, including hallucinations, prompt injection, data privacy, and responsible AI practices.</li> <li>Hands-on experience with agentic development, such as running coding agents (e.g., Claude Code, Cursor, GitHub Copilot) on multi-step tasks, coordinating multiple agents, and configuring agent rules, context, and MCP integrations.</li> <li>Curiosity and willingness to experiment with new AI workflows, and to share results openly with the team, including what didn't work.</li> </ul> <p> </p> <p><b><br></b></p><p><b>Software engineering:</b></p> <ul> <li>Strong experience with modern languages and stacks (e.g., TypeScript/Node.js, Python, Go), cloud-native architecture, and modern databases, including designing new systems from the ground up.</li> <li>Experience developing modern web applications using React (functional components, hooks, state management like Redux) or Angular.</li> <li>Ability to work in and understand our existing platform (Java, Spring, JSP, Oracle Database, PL/SQL); hands-on experience with these is a plus.</li> <li>Experience integrating front-end applications with back-end services using REST APIs, and with third-party APIs (e.g., Google Maps JavaScript API).</li> <li>Experience with automated testing frameworks for React (Jest, React Testing Library) and mocking API responses in tests.</li> <li>Understanding of modern JavaScript features (ES6+), asynchronous programming (promises, async/await), and CSS preprocessors like SASS.</li> <li>Familiarity with Test Driven Development (TDD).</li> <li>Familiarity with AWS and cloud-native services.</li> <li>Familiarity with tools like Webpack, Babel, ESLint, and package managers (npm, yarn).</li> <li>Familiarity with modern UI frameworks like Material-UI and Tailwind.</li> </ul> <p> </p> <p><b><br></b></p><p><b>Nice to have:</b></p> <ul> <li>(Bonus) Proficiency in Python for AI/ML work.</li> <li>(Bonus) Grounding in ML fundamentals, or experience fine-tuning models.</li> <li>(Bonus) Experience leading or contributing to a major platform rebuild or legacy-to-modern migration.</li> <li>(Bonus) Experience in mobile app development (e.g., React Native, Swift/iOS, Kotlin/Android).</li> <li>(Bonus) Familiarity with UI/UX design, including designing intuitive user experiences for AI features.</li> </ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Proven experience designing, building, and deploying AI/LLM-powered features to production (e.g., chatbots and assistants, summarization, recommendation engines, predictive analytics, personalization).</li><li>Hands-on experience with LLM APIs and platforms (e.g., OpenAI, Anthropic, AWS Bedrock, AWS SageMaker), including prompt engineering, tool/function calling, and structured outputs.</li><li>Experience building retrieval-augmented generation (RAG) pipelines, including embeddings, chunking, and vector search (e.g., pgvector, OpenSearch, Oracle AI Vector Search).</li><li>Familiarity with AI orchestration and agent frameworks (e.g., Spring AI, LangChain/LangGraph, LlamaIndex) and protocols such as the Model Context Protocol (MCP).</li><li>Experience evaluating and monitoring AI systems: building eval datasets, measuring output quality, and tracking latency, cost, and failure modes in production.</li><li>Understanding of AI risks and mitigations, including hallucinations, prompt injection, data privacy, and responsible AI practices.</li><li>Hands-on experience with agentic development, such as running coding agents (e.g., Claude Code, Cursor, GitHub Copilot) on multi-step tasks, coordinating multiple agents, and configuring agent rules, context, and MCP integrations.</li><li>Curiosity and willingness to experiment with new AI workflows, and to share results openly with the team, including what didn't work.</li></ul> <p>Software engineering:</p> <ul><li>Strong experience with modern languages and stacks (e.g., TypeScript/Node.js, Python, Go), cloud-native architecture, and modern databases, including designing new systems from the ground up.</li><li>Experience developing modern web applications using React (functional components, hooks, state management like Redux) or Angular.</li><li>Ability to work in and understand our existing platform (Java, Spring, JSP, Oracle Database, PL/SQL); hands-on experience with these is a plus.</li><li>Experience integrating front-end applications with back-end services using REST APIs, and with third-party APIs (e.g., Google Maps JavaScript API).</li><li>Experience with automated testing frameworks for React (Jest, React Testing Library) and mocking API responses in tests.</li><li>Understanding of modern JavaScript features (ES6+), asynchronous programming (promises, async/await), and CSS preprocessors like SASS.</li><li>Familiarity with Test Driven Development (TDD).</li><li>Familiarity with AWS and cloud-native services.</li><li>Familiarity with tools like Webpack, Babel, ESLint, and package managers (npm, yarn).</li><li>Familiarity with modern UI frameworks like Material-UI and Tailwind.</li></ul> <p>Nice to have:</p> <ul><li>(Bonus) Proficiency in Python for AI/ML work.</li><li>(Bonus) Grounding in ML fundamentals, or experience fine-tuning models.</li><li>(Bonus) Experience leading or contributing to a major platform rebuild or legacy-to-modern migration.</li><li>(Bonus) Experience in mobile app development (e.g., React Native, Swift/iOS, Kotlin/Android).</li><li>(Bonus) Familiarity with UI/UX design, including designing intuitive user experiences for AI features.</li></ul>

<p>As a Senior Data Engineer, you will be responsible for designing, building, and maintaining scalable data infrastructure that supports analytics, reporting, product development, and operational decision-making. You will work closely with Engineering, Product, Finance, Operations, and Growth teams to ensure reliable, accessible, and high-quality data across the organization. This role is ideal for someone who thrives in a fast-paced environment, enjoys solving complex data challenges, and wants to have a direct impact on the growth of a rapidly scaling fintech company.</p><h4><b><br></b></h4><h4><b>What You'll Do</b></h4><ul><li>Design, develop, and maintain scalable data pipelines and ETL/ELT processes.</li><li>Build and optimize data models, warehouses, and data lakes to support business and product analytics.</li><li>Partner with cross-functional stakeholders to understand data needs and deliver actionable solutions.</li><li>Ensure data quality, integrity, governance, and observability across all systems.</li><li>Improve the performance, reliability, and scalability of our data platform.</li><li>Support real-time and batch data processing requirements</li><li>Develop and maintain documentation, standards, and best practices for data engineering.</li><li>Collaborate with software engineers to integrate data solutions into customer-facing products and internal systems</li><li><br></li></ul><h4><b><br></b></h4><h4><b>Nice to Have</b></h4><ul><li>Experience working within embedded payments, PayFac, merchant acquiring, or payment processing environments.</li><li>Experience with real-time streaming technologies and event-driven architectures.</li><li>Familiarity with data governance, compliance, and security requirements in regulated industries.</li><li>Experience building customer-facing data products or analytics platforms.</li><li>Interest in or exposure to cybersecurity principles as they relate to data infrastructure (e.g., encryption at rest/in transit, access controls, secure data pipelines).</li></ul><h4><br></h4><p><strong>Desired Candidate Profile</strong></p>5 8 years of experience in Data Engineering, Analytics Engineering, or a related field. Strong academic background in Computer Science, Engineering, Mathematics, Statistics, or a related quantitative discipline. Experience designing and maintaining modern data architectures and large-scale data pipelines. Advanced SQL skills and strong proficiency in Python or another relevant programming language. Experience with cloud data platforms and modern data stack technologies. Strong understanding of data modeling, warehousing concepts, and distributed data systems. Proven ability to work cross-functionally and communicate technical concepts to nontechnical stakeholders. Experience in payments, fintech, financial services, or transaction-heavy environments is strongly preferred. High attention to detail and a commitment to data quality and reliability. Strong knowledge of Snowflake, DBT, Airflow. Strong knowledge and skills in AI development with top LLMs.

<p>We are looking for a highly skilled AI Engineer with 2 to 5 years of experience to design, develop, and deploy cutting-edge AI and machine learning solutions.<br>In this role, you will work with large datasets, build intelligent models, and drive innovation by leveraging advanced AI techniques.<br>You will collaborate with cross-functional teams to integrate AI capabilities into business applications, ensuring scalability, efficiency, and real-world impact.<br>If you have a strong foundation in machine learning, deep learning, and AI-driven problem-solving, and you're eager to push the boundaries of technology, we want to hear from you.</p><p><strong>Job Responsibilities:</strong></p><ul><li>Develop, train, and deploy machine learning models to solve business challenges.</li><li>Work with large datasets to extract insights, clean, and preprocess data.</li><li>Optimize model performance, accuracy, and efficiency.</li><li>Design and implement AI algorithms for task, computer vision, or predictive analytics.</li><li>Collaborate with data scientists, software engineers, and business stakeholders to integrate AI solutions.</li><li>Stay up to date with the latest advancements in AI/ML and apply innovative techniques.</li><li>Ensure scalability and efficiency of AI solutions in production environments.</li><li>Troubleshoot and fine-tune models for performance improvement.</li></ul><p><strong>Desired Candidate Profile</strong></p><p><strong>Required Qualifications &amp; Skills:</strong></p><ul><li>Education: Bachelor s degree in computer science, AI, Data Science, Data Analytics or a related field.</li><li>Experience: 2-5 years of hands-on experience in AI/ML development, power BI, copilot studio, generative AI, and AI agent</li><li>Proficiency in Python, experience with large datasets, data preprocessing, and feature engineering.</li><li>AI Specialization: Strong understanding of deep learning</li><li>Problem-Solving: Ability to analyse complex problems and implement AI-driven solutions.</li><li>Strong communication skills to work effectively with cross-functional teams.</li></ul>

<p>Aspire Software is looking for a GTM Engineer - Growth &amp; Sales Development to join our team in Lebanon.</p> <p> <strong>Here is a little window into our company:</strong> Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals. By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.</p> <p> <strong>Why this role matters</strong> </p> <p>We are looking for a highly analytical, results-driven Go-to-Market (GTM) Engineer who combines the execution skills of a Sales Development Representative (SDR) with the analytical mindset of a growth engineer.</p> <p>This is a hybrid role combining outbound sales, growth experimentation, automation, and performance analytics.</p> <p>The ideal candidate is comfortable making cold calls, engaging with prospective customers, analyzing sales data, and continuously experimenting to improve conversion rates.</p> <p>Key Responsibilities</p> <p>1. Outbound Sales Execution</p> <ul> <li>Conduct cold calls to restaurant owners, managers, and decision-makers to generate qualified opportunities.</li> <li>Execute personalized outbound email campaigns and follow-up sequences.</li> <li>Book product demonstrations and meetings for the sales team.</li> <li>Identify potential customers through prospecting, research, and lead generation.</li> <li>Maintain accurate records of prospect interactions and outcomes in the CRM.</li> <li>Test new prospecting approaches while consistently meeting weekly outreach targets.</li> </ul> <p>2. Sales Performance Tracking &amp; Analytics</p> <ul> <li>Track and analyze the performance of outbound calls and email campaigns across both personal activities and the broader sales team.</li> <li>Monitor key performance indicators, including:</li> <li>Cold calls completed and decision-maker connection rates.</li> <li>Conversion rates from calls to booked demonstrations.</li> <li>Email open rates, reply rates, and positive response rates.</li> <li>Email-to-meeting conversion rates.</li> <li>Demonstration attendance and qualification rates.</li> <li>Lead-to-customer conversion rates.</li> <li>Build performance dashboards and reporting tools to identify trends, bottlenecks, and improvement opportunities.</li> <li>Compare individual and team performance to identify successful techniques and best practices.</li> </ul> <p>3. Continuous Experimentation &amp; A/B Testing</p> <ul> <li>Design and conduct structured A/B tests to improve outbound sales performance.</li> <li>Test different cold-call opening statements, pitches, objection-handling techniques, and calls to action.</li> <li>Experiment with email subject lines, personalization strategies, messaging, formats, and follow-up sequences.</li> <li>Analyze which messaging approaches generate the highest response rates and meeting conversion rates.</li> <li>Document experiment results and implement winning strategies across the sales team.</li> <li>Continuously optimize the entire outbound sales funnel based on measurable results.</li> </ul> <p>4. Ideal Customer Profile (ICP) Optimization</p> <ul> <li>Identify the most responsive customer segments based on restaurant type, size, location, technology adoption, and other relevant characteristics.</li> <li>Test different Ideal Customer Profiles to determine which segments have the highest conversion rates and acquisition potential.</li> <li>Analyze differences in outreach performance between independent restaurants, restaurant groups, and other customer categories.</li> <li>Identify buying signals and characteristics associated with successful conversions.</li> <li>Develop data-driven recommendations for prioritizing high-value prospects.</li> </ul> <p>5. Outreach Timing &amp; Channel Optimization</p> <ul> <li>Test different days and times to determine when restaurant owners and decision-makers are most likely to answer calls or respond to emails.</li> <li>Identify the most effective combinations of phone calls, emails, and other outreach channels.</li> <li>Optimize follow-up frequency, timing, and sequence structure.</li> <li>Develop targeted outbound strategies for different customer segments.</li> <li>Recommend strategies to increase contact rates while reducing unnecessary sales activities.</li> </ul> <p>6. Sales Automation &amp; GTM Engineering</p> <ul> <li>Develop and improve automated prospecting and outreach workflows.</li> <li>Leverage AI tools to streamline lead research, personalization, CRM updates, and campaign analysis.</li> <li>Identify repetitive sales activities that can be automated without compromising outreach quality.</li> <li>Improve lead scoring, prospect segmentation, and campaign targeting.</li> <li>Collaborate with engineering and leadership teams to improve internal sales tools and workflows.</li> <li>Build repeatable processes that allow the company to scale outbound sales efficiently.</li> </ul> <p>7. Sales Process Improvement &amp; Team Enablement</p> <ul> <li>Translate experiment results into clear, actionable recommendations for the sales team.</li> <li>Develop standardized cold-call scripts, email templates, and outreach playbooks.</li> <li>Identify best practices from top-performing representatives and help replicate them across the team.</li> <li>Provide regular insights and feedback to improve team performance.</li> <li>Support the onboarding of future sales representatives by documenting successful outreach strategies.</li> <li>Help establish a culture of continuous improvement, experimentation, and accountabilit</li> </ul><ul> <li>Strong proficiency with spreadsheets, CRM systems, and digital productivity tools.</li> </ul> <p>Preferred Qualifications</p> <ul> <li>Experience in outbound B2B sales, sales development, growth marketing, or revenue operations.</li> <li>Familiarity with CRM platforms and sales engagement tools.</li> <li>Experience designing A/B tests and analyzing conversion funnels.</li> <li>Knowledge of AI-powered sales automation tools.</li> <li>Experience with tools such as HubSpot, Salesforce, Apollo, Instantly, or similar platforms.</li> <li>Basic technical skills in SQL, Python, APIs, or no-code automation tools are an asset.</li> <li>Understanding of SaaS business models and customer acquisition economics.</li> </ul> <p>Key Performance Indicators (KPIs)</p> <p>Success in this role will be measured across two dimensions:</p> <p><br></p><ul> </ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Strong analytical skills and a data-driven approach to problem-solving.</li><li>Excellent communication skills and confidence conducting cold calls.</li><li>Ability to analyze performance metrics and translate findings into practical improvements.</li><li>Strong organizational skills and attention to detail.</li><li>Willingness to experiment, learn from failures, and continuously improve.</li><li>Ability to work independently and take ownership of measurable results.</li><li>Comfort working in a fast-paced startup environment.</li></ul>

<p>Build production AI systems for clients. You'll design and ship agentic workflows on Claude and AWS Bedrock AgentCore, retrieval systems backed by Bedrock Knowledge Bases, and MCP-based automations that connect directly into client tool stacks (Notion, Linear, HubSpot, AWS, Google Workspace, and more). This is a hands-on build role. You will write code, deploy infrastructure, and sit in client rooms explaining why the system behaves the way it does.</p><p>Tasks &amp; Responsibilities</p><ul><li>Design and build applied AI systems on Claude and AWS Bedrock AgentCore: RAG pipelines backed by Bedrock Knowledge Bases, agentic workflows, and multi-tool orchestration via MCP.</li><li>Own delivery of AI components end-to-end: architecture, implementation, evaluation, and post-launch monitoring.</li><li>Integrate Claude-based agents with client infrastructure and business tools via MCP servers (HubSpot, Notion, Linear, Google Workspace).</li><li>Translate ambiguous client problems into scoped technical builds with clear success criteria and numbers attached.</li><li>Document architecture and decisions in the client's Notion record so infra details never live only in someone's head.</li><li>Work alongside Pre-Sales Engineers during scoping calls to validate technical feasibility before commitments are made.</li><li>Select and tune the right model, retrieval strategy, and Knowledge Base configuration per use case.</li><li>Build and maintain eval suites (offline test sets, regression checks, LLM-as-judge scoring) that catch quality drift before a client does.</li><li>Design agentic control flow: tool-selection logic, retry/fallback paths, and guardrails against runaway loops or unsafe tool calls.</li><li>Instrument production systems with logging, tracing, and cost/latency dashboards to debug a bad output from a client.</li><li>Write modular infrastructure as code (Terraform) for AI workloads on AWS.</li><li>Conduct architecture reviews on other engineers' AI builds and flag failure modes before they ship.</li></ul><p>Competencies</p><ul><li>Can explain to a client, in plain language, why an agent made the tool call it made</li><li>Comfortable debugging a production LLM failure under time pressure, not just in a notebook</li><li>Can wire an MCP server into an agent and debug why a tool call didn't fire</li></ul><p>Tools &amp; Certifications</p><ul><li>Strong Python engineering; comfort with AWS</li><li>Practical experience with LLM application patterns: RAG, agentic tool-use via MCP, prompt engineering, evaluation design</li><li>Hands-on experience with AWS Bedrock AgentCore and Bedrock Knowledge Bases</li><li>Nice to have: AWS Certified Machine Learning Engineer Associate, AWS Certified Generative AI Developer Professional, AWS Certified Solutions Architect Associate or Professional, AWS Certified Developer Associate, AWS Certified Security Specialty (relevant given our compliance posture)</li></ul><p><strong>Desired Candidate Profile</strong></p><p>Master's degree in Computer Science or equivalent</p><p>Previous experience building and shipping production ML/AI systems</p><p>Fluent in English and Arabic</p>

<p>Build production AI systems for clients. You'll design and ship agentic workflows on Claude and AWS Bedrock AgentCore, retrieval systems backed by Bedrock Knowledge Bases, and MCP-based automations that connect directly into client tool stacks (Notion, Linear, HubSpot, AWS, Google Workspace, and more). This is a hands-on build role. You will write code, deploy infrastructure, and sit in client rooms explaining why the system behaves the way it does.</p><p><strong>Tasks &amp; Responsibilities</strong></p><ul><li>Design and build applied AI systems on Claude and AWS Bedrock AgentCore: RAG pipelines backed by Bedrock Knowledge Bases, agentic workflows, and multi-tool orchestration via MCP.</li><li>Own delivery of AI components end-to-end: architecture, implementation, evaluation, and post-launch monitoring.</li><li>Integrate Claude-based agents with client infrastructure and business tools via MCP servers (HubSpot, Notion, Linear, Google Workspace).</li><li>Translate ambiguous client problems into scoped technical builds with clear success criteria and numbers attached.</li><li>Document architecture and decisions in the client's Notion record so infra details never live only in someone's head.</li><li>Work alongside Pre-Sales Engineers during scoping calls to validate technical feasibility before commitments are made.</li><li>Select and tune the right model, retrieval strategy, and Knowledge Base configuration per use case.</li><li>Build and maintain eval suites (offline test sets, regression checks, LLM-as-judge scoring) that catch quality drift before a client does.</li><li>Design agentic control flow: tool-selection logic, retry/fallback paths, and guardrails against runaway loops or unsafe tool calls.</li><li>Instrument production systems with logging, tracing, and cost/latency dashboards to debug a bad output from a client.</li><li>Write modular infrastructure as code (Terraform) for AI workloads on AWS.</li><li>Conduct architecture reviews on other engineers' AI builds and flag failure modes before they ship.</li></ul><p><strong>Competencies</strong></p><ul><li>Can explain to a client, in plain language, why an agent made the tool call it made</li><li>Comfortable debugging a production LLM failure under time pressure, not just in a notebook</li><li>Can wire an MCP server into an agent and debug why a tool call didn't fire</li></ul><p><strong>Desired Candidate Profile</strong></p><h2>Education, Experience &amp; Language</h2><ul><li>Master's degree in Computer Science or equivalent</li><li>Previous experience building and shipping production ML/AI systems</li><li>Fluent in English and Arabic</li></ul><h2>Tools &amp; Certifications</h2><ul><li>Strong Python engineering; comfort with AWS</li><li>Practical experience with LLM application patterns: RAG, agentic tool-use via MCP, prompt engineering, evaluation design</li><li>Hands-on experience with AWS Bedrock AgentCore and Bedrock Knowledge Bases</li><li>Nice to have: AWS Certified Machine Learning Engineer Associate, AWS Certified Generative AI Developer Professional, AWS Certified Solutions Architect Associate or Professional, AWS Certified Developer Associate, AWS Certified Security Specialty (relevant given our compliance posture)</li></ul>

<h4><b>Responsibilities:</b></h4> <br> <br>-Review Received Design Drawings. <br>-Identify list of materials. <br>-Describe the different types of materials used in construction projects. <br>-Coordination of work <br>-Preparation of architectural and civil specifications. <br>-Review specification documents <br>-Compile specification documents (all trades). <br>-Prepare specification document for submission. <br>-Prepare bill of quantities and method of measurement. <br>-Compile BOQ documents (all trades). <br>-Review BOQ and compare against specifications. <br>-Support quantity take-off and prepare calculation sheets. <br> <b><br></b><h4><b>Qualifications:</b></h4> <br> <br>-Bachelor's degree in civil engineering. <br>-Proficient in computer skills and Microsoft Office Suite. <br>-In-depth understanding of AutoCAD and Revit software. <br>-Ability to complete tasks with accuracy and with strong attention to detail. <br>-Ability to work effectively within a collaborative team environment. <br>-Strong analytical, oral and written communication skills with the ability to build quick report with all levels of employees, clients, consultants and vendors. <br>-Practical knowledge of general architectural practice including programming, site planning, civil, structural, mechanical and electrical engineering <br>-Living in Khaldeh or nearby suburbs. <br> <br> <br><p><strong>Desired Candidate Profile</strong></p><p>10 years of work experience as a civil engineer.</p>

<p><b>Responsibilities</b></p> <p>Prepare and revise AutoCAD drawings</p> <p>Produce 2D construction and engineering plans</p> <p>Create AutoCAD 3D models</p> <p>Produce professional 3D renderings and visualizations</p> <p>Prepare civil engineering drawings</p> <p>Prepare architectural drawings and floor plans</p> <p>Modify existing plans based on engineer/client comments</p> <p>Assist with construction documents and drawing sets</p> <p>Coordinate remotely with engineers and project staff in Texas</p> <p>Maintain organized project files and drawing versions</p> <p>Complete assignments accurately and on schedule</p><p><strong>Desired Candidate Profile</strong></p><ul><li>Strong AutoCAD experience required</li><li>AutoCAD 3D experience required</li><li>Experience producing professional renderings required</li><li>Strong background in civil and/or architectural drafting</li><li>Engineering, architecture, or related technical degree preferred</li><li>Several years of professional drafting/design experience</li><li>Ability to read and understand architectural and engineering plans</li><li>Excellent attention to detail and accuracy</li><li>Good written and spoken English</li><li>Ability to work independently with limited supervision</li><li>Comfortable working with a U.S.-based engineering team</li><li>Fast and reliable home internet</li><li>Reliable computer capable of handling AutoCAD, 3D modeling, and rendering</li><li>Reliable electricity and a backup power solution</li><li>Ability to participate in video calls and communicate consistently during working hours</li></ul>

<p>Aspire Software is looking for an Intermediate Software Developer to join our team in Lebanon.</p> <p> <strong>About the Job:</strong> </p><p>We're looking for a software engineer to deliver product build for our Professional Services (PS) engagements. You'll scope, design and build client-funded capabilities across the full H&amp;L product and technology stack, using AI tooling to get from scoped problem to working solution fast.</p> <p>This isn't a bespoke, one-off development role. Everything you build extends the existing platform, integrates with the current solution and becomes part of the core product. You'll work closely with our R&amp;D team so that PS work strengthens the roadmap rather than competing with it.</p> <p>Scoping, discovery and estimation</p> <ul> <li>Work with the Project and Delivery Manager to scope each PS engagement that needs product build.</li> <li>Run discovery with clients and internal stakeholders to understand the problem, the venue workflow and the commercial outcome.</li> <li>Produce solution designs that show how the capability fits into the existing product and architecture.</li> <li>Provide detailed, task-level effort estimates that support accurate project costing and quoting.</li> <li>Flag technical risks, dependencies and assumptions early, so they're priced into the engagement.</li> </ul> <p> </p> <p>Build and delivery</p> <ul> <li>Build new capabilities across the H&amp;L stack, from legacy Delphi applications through to cloud native services and web front ends.</li> <li>Use AI coding tools as a core part of your workflow to accelerate design, build, testing, and documentation.</li> <li>Integrate every solution with the existing product, data model, and APIs. No forks, no standalone bespoke code.</li> <li>Write clean, tested, and maintainable code that meets the same quality bar as roadmap work.</li> <li>Deliver against agreed scope, timeline and budget, and keep the Project and Delivery Manager informed of progress and variances.</li> <li>Support deployment, client acceptance and handover to Support.</li> </ul> <p> </p> <p>Working with R&amp;D</p> <ul> <li>Align with R&amp;D before and during each build, so PS work follows our development processes, standards and release cadence.</li> <li>Check planned work against the product roadmap to avoid conflicts, duplication, and rework.</li> <li>Take part in code reviews, branching, and release processes alongside the R&amp;D team.</li> <li>Contribute reusable components and patterns back into the core product.</li> <li>Document what you build so R&amp;D and Support can own and maintain it after delivery.</li> </ul><ul> <li>5+ years of commercial software engineering experience.</li> <li>Strong, hands-on capability across several of the languages and frameworks below, and the ability to pick up the rest quickly.</li> <li>Experience with both on premise and cloud native architectures, and with integrating the two.</li> <li>Daily, practical use of AI coding tools (for example Claude Code, Cursor or GitHub Copilot) to ship working software faster without dropping quality.</li> <li>Experience extending large, established codebases rather than building greenfields.</li> <li>A track record of estimating your own work accurately and delivering to it.</li> <li>Confidence running discovery and design sessions with clients and non-technical stakeholders.</li> </ul> <p> </p> <p>Technology</p> <p> </p> <ul> <li>Desktop and POS: Delphi</li> <li>Backend and services: C#, .NET, Node.js</li> <li>Front end: TypeScript, Angular, React</li> <li>Architecture: On premise, cloud native (AWS), hybrid</li> <li>Integration: REST APIs, payments and third-party integrations</li> </ul> <p> </p> <p>Desirable</p> <ul> <li>Hospitality, retail or POS industry experience.</li> <li>Experience in a professional services, consulting or client-funded delivery environment.</li> <li>Payments integration experience.</li> <li>Exposure to agile delivery, Jira and Confluence.</li> </ul> <p> </p> <p>How you work</p> <ul> <li>Product mindset. You build for the whole customer base, not just the client paying for the engagement.</li> <li>Commercially aware. You understand that estimates drive pricing and margin, and you treat them seriously.</li> <li>Collaborative. You work openly with R&amp;D, Delivery and Support, and raise conflicts early.</li> <li>Pragmatic and fast. You use AI tooling to move quickly, and you know when to slow down and get the design right.</li> <li>Clear communicator. You can explain technical trade-offs to clients, project managers and engineers alike.</li> </ul> <p> </p> <p>What success looks like</p> <ul> <li>Estimate accuracy: Actual effort lands within an agreed tolerance of the scoped estimate</li> <li>Delivery: Engagements delivered on time and on budget</li> <li>Product fit: Capabilities ship through the standard release process and become part of the core product</li> <li>Roadmap alignment: No conflicts or rework with R&amp;D roadmap work</li> <li>Quality: Low post-release defect rate and clean handover to Support</li> <li>Client outcome: Strong client acceptance and satisfaction on completed engagements</li> </ul> <p> </p> <p>Key relationships</p> <ul> <li>Project and Delivery Manager: scoping, estimation, planning and delivery tracking.</li> <li>R&amp;D (Engineering and Product): architecture, standards, code review, roadmap alignment and release.</li> <li>Clients: discovery, design validation and acceptance.</li> <li>Support: handover and ongoing maintenance of delivered capabilities.</li> </ul><p><strong>Desired Candidate Profile</strong></p><ul><li>5+ years of commercial software engineering experience.</li><li>Strong, hands-on capability across several of the languages and frameworks below, and the ability to pick up the rest quickly.</li><li>Experience with both on premise and cloud native architectures, and with integrating the two.</li><li>Daily, practical use of AI coding tools (for example Claude Code, Cursor or GitHub Copilot) to ship working software faster without dropping quality.</li><li>Experience extending large, established codebases rather than building greenfields.</li><li>A track record of estimating your own work accurately and delivering to it.</li><li>Confidence running discovery and design sessions with clients and non-technical stakeholders.</li></ul> <p> </p> <p>Technology</p> <p> </p> <ul><li>Desktop and POS: Delphi</li><li>Backend and services: C#, .NET, Node.js</li><li>Front end: TypeScript, Angular, React</li><li>Architecture: On premise, cloud native (AWS), hybrid</li><li>Integration: REST APIs, payments and third-party integrations</li></ul> <p> </p> <p>Desirable</p> <ul><li>Hospitality, retail or POS industry experience.</li><li>Experience in a professional services, consulting or client-funded delivery environment.</li><li>Payments integration experience.</li><li>Exposure to agile delivery, Jira and Confluence.</li></ul> <p> </p> <p>How you work</p> <ul><li>Product mindset. You build for the whole customer base, not just the client paying for the engagement.</li><li>Commercially aware. You understand that estimates drive pricing and margin, and you treat them seriously.</li><li>Collaborative. You work openly with R&amp;D, Delivery and Support, and raise conflicts early.</li><li>Pragmatic and fast. You use AI tooling to move quickly, and you know when to slow down and get the design right.</li><li>Clear communicator. You can explain technical trade-offs to clients, project managers and engineers alike.</li></ul>

Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals. By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.</p> <h4>About the job</h4> <p>We are looking for a senior machine learning engineer who wants to own that evolution.</p> <p>This is not a research-only role. You will frame problems, explore data, design models, build evaluation systems, investigate real customer issues, and ship production services. Your work will influence real pricing decisions and measurable hotel revenue not just dashboards or internal prototypes.</p> <h4>What you'll work on</h4> <ul> <li>Pricing intelligence: Advance our pricing engine using probabilistic forecasting, elasticity estimation, contextual bandits, reinforcement learning, and other appropriate optimization methods.</li> <li>Demand forecasting: Improve booking-curve and final-occupancy forecasts, including uncertainty estimates that can inform safer pricing decisions.</li> <li>Safe experimentation: Build historical replay, simulation, backtesting, shadow deployment, and controlled rollout capabilities to measure revenue impact before models affect customers.</li> <li>Production ML: Turn models into reliable, tested, and observable Python services, owning the path from experimentation through deployment, monitoring, and rollback.</li> <li>Problem-solving and customer investigations: Debug unexpected pricing, data, integration, and production behavior. Trace customer-reported issues to their root cause and turn incidents into lasting improvements.</li> <li>Data and intelligent experiences: Strengthen the reservation, occupancy, competitor-rate, PMS, and event-data pipelines behind our decisions, while contributing to AI-powered explanations and revenue-manager tools.</li> </ul> <h4>Tech stack</h4> <ul> <li>Python 3.11, FastAPI, Pydantic, SQLAlchemy 2.0, and Alembic</li> <li>PostgreSQL/Supabase and Redis</li> <li>Pandas, Polars, NumPy, and statsmodels</li> <li>OpenAI, Anthropic, LangChain, and LangGraph</li> <li>PredictHQ and multiple hotel PMS and market-data integrations</li> <li>AWS ECS/Fargate, SQS, EventBridge, S3, and CloudWatch</li> <li>Docker, GitHub Actions, Prometheus, and PostHog</li> </ul> <h4>Requirements</h4> <ul> <li>Experience taking machine-learning systems from problem definition through production deployment and monitoring.</li> <li>Strong Python and SQL skills, including experience building modular, typed, tested production software—not only exploratory notebooks.</li> <li>A solid foundation in statistics, experimentation, forecasting, and model evaluation.</li> <li>Experience working with time-dependent, noisy, incomplete, or imperfect real-world data.</li> <li>Strong analytical problem-solving skills and a methodical approach to ambiguous technical issues.</li> <li>Proven ability to debug production systems, including data pipelines, APIs, asynchronous jobs, integrations, and model behavior.</li> <li>Experience investigating customer-reported issues, identifying root causes, and communicating findings clearly to technical and non-technical stakeholders.</li> <li>A habit of improving systems after incidents through better tests, monitoring, documentation, safeguards, or architecture.</li> <li>The judgment to balance model sophistication with reliability, explainability, and business value.</li> <li>Comfort working with APIs, relational databases, containers, cloud infrastructure, and CI/CD.</li> <li>Clear communication skills and an ability to work closely with engineers, product leaders, revenue-management experts, and customer-facing teams.</li> <li>A high level of ownership: you can turn an ambiguous business or customer problem into a practical, measurable plan and carry it through to completion.</li> <li>Years of experience are a useful signal, but not the deciding factor. We care more about what you have built, how you reason, and how you respond when models and systems meet the real world.</li> </ul> <h4>Nice to have</h4> <p>You do not need everything on this list:</p> <ul> <li>Contextual bandits, reinforcement learning, recommendation systems, bidding, or other sequential decision systems.</li> <li>Probabilistic demand forecasting or hierarchical Bayesian modeling.</li> <li>Pricing, revenue management, marketplaces, travel, hospitality, advertising, or e-commerce.</li> <li>Causal inference and off-policy evaluation.</li> <li>Model drift, data-quality monitoring, and experiment-tracking systems.</li> <li>Multi-tenant SaaS or event-driven architectures.</li> <li>Debugging distributed systems and third-party integrations in production.</li> <li>LLM applications and agentic workflows.</li> <li>AWS services such as ECS, SQS, EventBridge, S3, and CloudWatch.</li> <li>Hospitality experience is welcome, but not required. We will help you learn the domain.</li> </ul> <h4>What we value</h4> <ul> <li><strong>Speed with quality</strong> — Ship fast, but ship code and models a staff engineer would approve</li> <li><strong>AI-native workflow</strong> — You don't just know about AI tools, you use them daily to write, debug, and architect</li> <li><strong>Ownership</strong> — Pick up a problem and drive it to completion without hand-holding</li> <li><strong>Simplicity</strong> — Elegant solutions over over-engineered ones. Minimal code that does the job</li> <li><strong>Curiosity</strong> — Our domain (hotel revenue optimization) has real depth. You're excited to learn it</li> </ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Aspire Software is looking for a Data Scientist to join our team in Lebanon.<br> Here is a little window into our company: Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals.<br> By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.<br> About the job: We are looking for a Senior Machine Learning Engineer who wants to own that evolution.<br> This is not a research-only role.<br> You will frame problems, explore data, design models, build evaluation systems, investigate real customer issues, and ship production services.<br> Your work will influence real pricing decisions and measurable hotel revenue not just dashboards or internal prototypes.<br> What You'll Work On -Pricing intelligence: Advance our pricing engine using probabilistic forecasting, elasticity estimation, contextual bandits, reinforcement learning, and other appropriate optimization methods.<br> Demand forecasting: Improve booking-curve and final-occupancy forecasts, including uncertainty estimates that can inform safer pricing decisions.<br> Safe experimentation: Build historical replay, simulation, backtesting, shadow deployment, and controlled rollout capabilities to measure revenue impact before models affect customers.<br> Production ML: Turn models into reliable, tested, and observable Python services, owning the path from experimentation through deployment, monitoring, and rollback.<br> Problem-solving and customer investigations: Debug unexpected pricing, data, integration, and production behavior.<br> Trace customer-reported issues to their root cause and turn incidents into lasting improvements.<br> Data and intelligent experiences: Strengthen the reservation, occupancy, competitor-rate, PMS, and event-data pipelines behind our decisions, while contributing to AI-powered explanations and revenue-manager tools.<br> Tech Stack Python 3.<br>11, FastAPI, Pydantic, SQLAlchemy 2.<br>0, and Alembic PostgreSQL/Supabase and Redis Pandas, Polars, NumPy, and statsmodels OpenAI, Anthropic, LangChain, and LangGraph PredictHQ and multiple hotel PMS and market-data integrations AWS ECS/Fargate, SQS, EventBridge, S3, and CloudWatch Docker, GitHub Actions, Prometheus, and PostHog Experience taking machine-learning systems from problem definition through production deployment and monitoring.<br> Strong Python and SQL skills, including experience building modular, typed, tested production software—not only exploratory notebooks.<br> A solid foundation in statistics, experimentation, forecasting, and model evaluation.<br> Experience working with time-dependent, noisy, incomplete, or imperfect real-world data.<br> Strong analytical problem-solving skills and a methodical approach to ambiguous technical issues.<br> Proven ability to debug production systems, including data pipelines, APIs, asynchronous jobs, integrations, and model behavior.<br> Experience investigating customer-reported issues, identifying root causes, and communicating findings clearly to technical and non-technical stakeholders.<br> A habit of improving systems after incidents through better tests, monitoring, documentation, safeguards, or architecture.<br> The judgment to balance model sophistication with reliability, explainability, and business value.<br> Comfort working with APIs, relational databases, containers, cloud infrastructure, and CI/CD.<br> Clear communication skills and an ability to work closely with engineers, product leaders, revenue-management experts, and customer-facing teams.<br> A high level of ownership: you can turn an ambiguous business or customer problem into a practical, measurable plan and carry it through to completion.<br> Years of experience are a useful signal, but not the deciding factor.<br> We care more about what you have built, how you reason, and how you respond when models and systems meet the real world.<br> Nice to Have You do not need everything on this list: Contextual bandits, reinforcement learning, recommendation systems, bidding, or other sequential decision systems.<br> Probabilistic demand forecasting or hierarchical Bayesian modeling.<br> Pricing, revenue management, marketplaces, travel, hospitality, advertising, or e-commerce.<br> Causal inference and off-policy evaluation.<br> Model drift, data-quality monitoring, and experiment-tracking systems.<br> Multi-tenant SaaS or event-driven architectures.<br> Debugging distributed systems and third-party integrations in production.<br> LLM applications and agentic workflows.<br> AWS services such as ECS, SQS, EventBridge, S3, and CloudWatch.<br> Hospitality experience is welcome, but not required.<br> We will help you learn the domain.<br> What We Value Speed with quality — Ship fast, but ship code and models a staff engineer would approve AI-native workflow — You don't just know about AI tools, you use them daily to write, debug, and architect Ownership — Pick up a problem and drive it to completion without hand-holding Simplicity — Elegant solutions over over-engineered ones.<br> Minimal code that does the job Curiosity — Our domain (hotel revenue optimization) has real depth.<br> You're excited to learn it</span> </div>

<p> <strong>Business Industry:</strong> Engineering Consultancy / Construction<br> <strong>Reporting to:</strong> Project Director<br> <strong>Work Model:</strong> On site</p><b><br>&nbsp;Role Overview </b><p>The <strong>Senior Electrical Site Engineer</strong> will supervise electrical works on site, ensuring that installations comply with approved drawings, project specifications, applicable codes, and quality standards.</p> <p>The role includes reviewing technical submissions, conducting site inspections, resolving technical queries, coordinating with project stakeholders, and overseeing testing and handover activities.</p><b><br>&nbsp;Key Responsibilities </b><ul> <li>Review electrical material submittals, shop drawings, and composite coordination drawings to ensure compliance with project requirements.</li> <li>Assess and respond to contractors requests for information, technical queries, and related submissions.</li> <li>Review design drawings, bills of quantities, and specifications, identifying discrepancies and communicating recommendations to the design team.</li> <li>Conduct regular site inspections to verify installation quality, workmanship, and compliance with approved documents.</li> <li>Prepare inspection and site visit reports, recording defects, observations, and technical recommendations.</li> <li>Follow up on corrective actions and verify that identified deficiencies are properly addressed.</li> <li>Participate in weekly site meetings, technical meetings, and coordination discussions.</li> <li>Coordinate electrical installations with architectural, structural, mechanical, and other disciplines to resolve clashes and site issues.</li> <li>Monitor progress against the project schedule and report delays, constraints, and potential impacts to the responsible project manager.</li> <li>Witness electrical tests on site and at manufacturers premises, review test results, and follow up on outstanding requirements.</li> <li>Oversee the electrical handover process, including snagging, verification of completed works, and review of closeout documentation.</li> <li>Prepare the relevant Taking-Over Certificate (TOC) report and support project completion.</li> <li>Perform other duties within the scope of the role and professional qualifications.</li> </ul><br><ul> </ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor s degree in Electrical Engineering or a related discipline.</li><li>8 12 years of experience in electrical engineering, including substantial experience in site supervision, preferably within an engineering consultancy or construction supervision environment.</li><li>Strong knowledge of electrical installations, construction methods, inspection procedures, and applicable codes and standards.</li><li>Proven ability to review technical drawings, material submittments, specifications, and bills of quantities.</li><li>Experience coordinating with contractors, consultants, designers, and multidisciplinary project teams.</li><li>Sound understanding of electrical testing, commissioning, snagging, and project handover procedures.</li><li>Strong technical reporting and documentation skills.</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company Description<br><p><strong>The Company:</strong></p><br><p>Sucafina is the leading sustainable Farm to Roaster coffee company, with a family tradition in commodities that stretches back to 1905. Today, with more than 1,400 employees in 34 countries, we help stakeholders worldwide to find the perfect coffee solutions. We embed technology, innovation, and sustainability throughout the supply chain, creating shared value for all by Investing in Farmers, Caring for People, and Protecting Our Planet. For more information, visit www.sucafina.com.</p><br><p><strong>What are we looking for:</strong></p><br><p>We are looking for entrepreneurs, techies, passionate, eager to learn, humble, with a positive attitude and a high level of integrity People. Flexible and willing to take challenges, work and live in coffee-producing countries, People who want to build expertise and a career in the coffee business and are ready to go the extra mile.</p><br><p><strong>What we offer:</strong></p><br><p>We offer within our pleasant family environment, great opportunities to learn and grow, we offer challenges and exposure to multicultural environments, on-merit base compensation, and free coffee around the clock!</p><br><br>Job Description<br><p><strong>Role Overview:</strong></p><br><p>The Microsoft Fabric Data Engineer is responsible for designing, building, optimizing, and operating enterprise-scale data platforms on Microsoft Fabric. This role focuses on data ingestion, transformation, storage, governance, automation, and platform reliability using OneLake, Lakehouse, Data Warehouse, Data Pipelines, and Spark technologies.</p><br><p>The position is heavily focused on Data Engineering and Platform Engineering rather than reporting and dashboard development. The successful candidate will build scalable, governed, and high-performance data solutions that support analytics, AI, operational reporting, and business intelligence initiatives across the organization.</p><br><p>This role is primarily focused on Data Engineering, Data Platform Development, and Microsoft Fabric architecture. Candidates whose experience is primarily centered around Power BI report development, dashboard creation, or data visualization without substantial Data Engineering experience may not be a fit for this position.</p><br><p><strong>Key Responsibilities</strong></p><br><p><strong>1. Data Engineering &amp; Platform Development</strong></p><br><ul><li>Design and implement enterprise-scale Lakehouse architectures using OneLake and Delta Lake.</li><li>Build and maintain robust batch, incremental, CDC, and near real-time data ingestion pipelines.</li><li>Develop scalable ETL/ELT solutions using Fabric Data Pipelines, Dataflows Gen2, PySpark, and SQL.</li><li>Implement and manage Medallion Architecture (Bronze, Silver, Gold).</li><li>Develop reusable and metadata-driven ingestion and transformation frameworks.</li><li>Integrate data from ERP systems, SAP, REST APIs, SQL Server, Dataverse, and other enterprise applications.</li><li>Design and maintain enterprise data models supporting analytical and operational workloads.</li></ul><p><strong>2. Fabric Engineering &amp; Optimization</strong></p><br><ul><li>Develop and optimize Fabric Lakehouses and Data Warehouses.</li><li>Build advanced Notebook-based transformations utilizing PySpark and Spark SQL.</li><li>Implement Delta Lake capabilities including:<ul><li>Merge/Upsert</li><li>Change Data Feed (CDF)</li><li>Time Travel</li><li>Schema Evolution</li><li>Optimize</li><li>Vacuum</li></ul></li><li>Design scalable storage, partitioning, and file management strategies within OneLake.</li><li>Optimize Spark workloads and Data Warehouse performance.</li></ul><p><strong>3. Performance, Reliability &amp; Monitoring</strong></p><br><ul><li>Tune large-scale Spark and SQL workloads.</li><li>Implement monitoring, alerting, and operational dashboards using Fabric Monitoring Hub and Metrics.</li><li>Conduct performance testing and scalability assessments.</li><li>Troubleshoot pipeline failures and platform performance bottlenecks.</li><li>Define and monitor SLAs for critical data assets and pipelines.</li><li>Ensure high availability and operational excellence across data workloads.</li></ul><p><strong>4. DevOps &amp; Platform Automation</strong></p><br><ul><li>Implement CI/CD using Fabric Git Integration and Deployment Pipelines.</li><li>Build automated deployment processes across Development, Test, and Production environments.</li><li>Develop automated testing frameworks for data quality, schema validation, and regression testing.</li><li>Manage environment configurations, secrets, and deployment parameters.</li><li>Utilize Azure DevOps or GitHub Actions to support release automation and governance.</li><li>Define rollback, release management, and change control processes.</li></ul><p><strong>5. Data Quality, Governance &amp; Security</strong></p><br><ul><li>Implement automated data quality validation frameworks.</li><li>Develop reconciliation, completeness, and consistency checks.</li><li>Manage data lineage, metadata, and documentation standards.</li><li>Implement sensitivity labels, access controls, auditing, and compliance requirements.</li><li>Ensure adherence to organizational standards for governance, security, retention, and PII handling.</li><li>Manage workspace permissions, Managed Identities, RLS, and CLS where required.</li></ul><p><strong>6. Technical Leadership &amp; Collaboration</strong></p><br><ul><li>Translate business requirements into scalable technical solutions.</li><li>Collaborate with Data Architects, Data Analysts, Integration Engineers, and business stakeholders.</li><li>Lead engineering best practices and platform standards.</li><li>Mentor junior engineers and support knowledge-sharing initiatives.</li><li>Produce architecture documentation and technical design specifications.</li></ul><p>Drive continuous improvement of the data platform and engineering practices.</p><br><br>Qualifications<br><p><strong>Qualifications and Experience:</strong></p><br><ul><li>Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field.</li><li>Minimum 5 years of experience in Data Engineering.</li><li>Minimum 2 years of hands-on experience with Microsoft Fabric, Azure Data Engineering, Databricks, or modern Lakehouse platforms.</li><li>Proven experience designing and building enterprise-grade data platforms.</li></ul><p><strong>Required Technical Skills</strong></p><br><p><strong>Microsoft Fabric</strong></p><br><ul><li>OneLake</li><li>Lakehouse</li><li>Delta Lake</li><li>Fabric Data Warehouse</li><li>Data Pipelines</li><li>Dataflows Gen2</li><li>Notebooks</li><li>Monitoring Hub</li><li>Deployment Pipelines</li><li>Git Integration</li></ul><p><strong>Data Engineering</strong></p><br><ul><li>PySpark</li><li>Spark SQL</li><li>SQL / T-SQL</li><li>ETL / ELT Development</li><li>Data Modeling</li><li>Incremental Processing</li><li>Change Data Capture (CDC)</li><li>Data Quality Frameworks</li><li>Medallion Architecture</li></ul><p><strong>Performance Optimization</strong></p><br><ul><li>Delta Lake Optimization</li><li>Partitioning Strategies</li><li>File Management</li><li>Query Optimization</li><li>Spark Performance Tuning</li><li>Workload Management</li></ul><p><strong>Integration</strong></p><br><ul><li>REST APIs</li><li>SQL Server</li><li>SAP</li><li>Azure Storage</li><li>Dataverse</li><li>Enterprise Application Integration</li></ul><p><strong>DevOps</strong></p><br><ul><li>Git</li><li>Azure DevOps</li><li>GitHub Actions</li><li>YAML Pipelines</li><li>CI/CD</li><li>Automated Testing</li></ul><p><strong>Security &amp; Governance</strong></p><br><ul><li>Row-Level Security (RLS)</li><li>Column-Level Security (CLS)</li><li>Sensitivity Labels</li><li>Managed Identities</li><li>Data Lineage</li><li>Audit and Compliance Controls</li></ul><br>Additional Information<br><p><strong>Preferred Qualifications</strong></p><br><ul><li>Microsoft Fabric DP-600 Certification.</li><li>DP-203 Azure Data Engineer Associate Certification.</li><li>Experience with Microsoft Purview.</li><li>Experience with Eventstream and Real-Time Intelligence.</li><li>Experience with Azure Databricks.</li><li>Exposure to AI and Machine Learning data engineering workloads.</li><li>Experience implementing enterprise data governance frameworks.</li><li>Familiarity with Infrastructure as Code (Terraform/Bicep).</li></ul><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><span>Murex is a global fintech leader in trading, risk management and processing solutions for capital markets.</span></p><br><p><span>Operating from our 19 offices, 3 400 Murexians from over 65 different nationalities ensure the development, implementation and support of our platform which is used by banks, asset managers, corporations and utilities, across the world.&nbsp;</span></p><br><p><span>Join Murex and work on the challenges of an industry at the forefront of innovation and thrive in a people-centric environment. You’ll be part of one global team where you can learn fast and stay true to yourself.</span></p><br><br><p><b>What you’ll do​:</b>&nbsp;</p><br><p>As a Senior DevOps Engineer, you will be responsible for designing, building, and operating automated platforms that enable reliable, secure, and scalable delivery of the MX platform across SaaS, cloud, and on-premises environments.</p><br><p>You will play a key leadership role in CI/CD implementations, jobs automation, environment management, and production reliability, working closely with development and client-facing teams, while mentoring other engineers and driving technical direction and best practices across teams.</p><br><br><p><b>1. Environment &amp; Platform Management</b>&nbsp;</p><br><ul><li>Own the deployment and management of <b>MX.3 environments</b> across development, testing, and production stages, defining the target architecture and standards</li><li>Define and drive the environment lifecycle strategy: provisioning, configuration, upgrades &amp; patching, decommissioning</li><li>Guarantee environments are <b>standardized, reproducible, and compliant</b>, and lead remediation of deviations</li><li>Support multi-client and multi-environment setups in SaaS or hybrid models</li></ul><p><b>2. CI/CD &amp; Release Engineering</b>&nbsp;</p><br><ul><li>Design, implement, and evolve <b>CI/CD pipelines</b> to support continuous integration, testing, and deployment across multiple environments, setting the technical roadmap</li><li>Own pipeline <b>stability</b> and performance, proactively eliminating build failures and delays through root-cause analysis and metrics</li><li>Lead the implementation of <b>automated build, packaging, and deployment processes</b></li><li>Define and enforce <b>version control best practices</b> (branching strategies, tagging, artifact management) across teams</li><li>Lead and coordinate release cycles, including go/no-go decisions and release risk management</li></ul><p><b>3. Automation</b>&nbsp;</p><br><ul><li>Implement the full automation of MX.3 SaaS environments</li><li>Drive end-to-end automation of environment provisioning, configuration, and upgrades</li><li>Design reusable automation frameworks and components to improve scalability and consistency, and promote their adoption</li></ul><p><b>4. Monitoring &amp; Reliability</b>&nbsp;</p><br><ul><li>Design and implement monitoring, logging, and alerting solutions, and define SLIs/SLOs.</li><li>Lead observability, incident analysis, and reliability improvements, and drive long-term resilience initiatives.</li></ul><p><b>5. Data &amp; Environment Operations</b>&nbsp;</p><br><ul><li>Define and oversee data provisioning, masking, and lifecycle practices.</li><li>Lead database migration, sanitization, and reconciliation activities.</li><li>Ensure and audit compliance with security and data governance standards</li></ul><p><b>6. Incident and Problem Management</b>&nbsp;</p><br><ul><li>Act as the top-level escalation point for platform and environment issues.</li><li>Lead the troubleshooting of complex, critical incidents and coordinate resolutions across teams, including post-incident reviews.</li><li>Establish documentation standards and foster knowledge sharing.</li><li>Partner with management and stakeholders to shape the DevOps roadmap and priorities.</li><li>Mentor and coach junior and mid-level engineers and contribute to hiring and onboarding.</li></ul><br><p><b>Who you are</b>​:&nbsp;</p><br><ul><li>Education: Degree in Bachelor or Master in Computer Engineering or Computer Science, or equivalent experience</li><li>5+ years of experience in DevOps, CI/CD, Software Engineering or a relevant field, including experience leading technical initiatives</li></ul><p><b>Technical Skills</b>&nbsp;</p><br><ul><li>CI/CD tools: Knowledge of Jenkins, GitLab CI, Azure DevOps</li><li>Version control systems: Git</li><li>Programming language: Advanced proficiency in Shell, Python or Java</li><li>Operating systems: Advanced Linux/Unix administration</li><li>Cloud platforms: Experience in AWS, Azure or GCP</li><li>Databases: Oracle, PostgreSQL, or similar, including performance and migration expertise</li><li>Infrastructure as Code and containerization/orchestration (e.g., Terraform, Ansible, Docker, Kubernetes)</li></ul><p><b>DevOps &amp; Platform Expertise</b>&nbsp;</p><br><ul><li>Proven experience designing, building and operating <b>CI/CD pipelines in complex environments</b> at scale</li><li>Advanced knowledge of <b>monitoring and observability tools</b></li><li>Experience with <b>SaaS / distributed architectures</b></li></ul><br><p><b>Soft Skills</b>&nbsp;</p><br><ul><li>Excellent analytical and troubleshooting skills</li><li>Ability to lead and stay calm under pressure in production environments</li><li>Clear communication with both technical and non-technical stakeholders, including senior management and clients</li><li>Team leader with strong collaboration mindset, able to mentor and coach others</li><li>Proactive, autonomous, and continuous improvement mindset, with ability to influence technical decisions</li></ul><ul><li>Fluent written &amp; oral English is necessary&nbsp;</li></ul><br><b><span>Why join us</span></b><br><p><span>We put our people first, with an attitude of care and a legitimate commitment to their success and wellbeing:</span></p><br><p><span>Benefit from our competitive compensation and insurance package:</span></p><br><ul><li><span>Attractive salary in USD outside of Lebanon</span></li><li><span>International medical, life and travel insurance</span></li><li><span>Retirement plan</span></li><li><span>Schooling allowance</span></li><li><span>And much more</span></li></ul><p><span>Enjoy a hybrid work environment:</span></p><br><ul><li><span>Teleworking at home and abroad</span></li><li><span>Dynamic and supportive work environment focused on employee wellness</span></li></ul><p><span>Grow with us and gain international exposure:</span></p><br><ul><li><span>Extensive learning opportunities</span></li><li><span>Learn from a diverse team of experts around the world</span></li><li><span>Possibility for international and internal mobility&nbsp;</span></li></ul> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>The Implementation Support Engineer serves as a primary technical resource for healthcare IT customer projects, with a focus on implementing, supporting, and maintaining PACS/RIS solutions and related healthcare technologies. The role combines hands-on technical troubleshooting, customer support, system implementation and maintenance, cross-functional collaboration, and proactive communication to ensure successful deployments and a high-quality customer experience.<br><br>Key Responsibilities<br>The Key Responsibilities are:<br><br></span><ul><li><span><span>- Serve as the primary PACS technical support resource for customer healthcare IT projects.<br></span>- Provide second-level support for PACS/RIS and healthcare IT systems, troubleshooting and resolving escalated technical issues.</span></li><li><span>- Respond to customer inquiries via phone, email, and ticketing systems in a timely and professional manner.<br></span></li><li><span>- Coordinate projects and take ownership of tasks while serving as the primary point of contact for customer communication and issue resolution.<br></span></li><li><span>- Collaborate with IT, Product, Engineering, and Project Management teams to escalate and resolve complex issues.<br></span></li><li><span>- Monitor and triage support queues, assigning tickets to the appropriate product or functional teams.<br></span></li><li><span>- Maintain detailed records of incidents, resolutions, workflows, and system changes within the ticketing system.<br></span></li><li><span>- Contribute to continuous improvement initiatives, including support processes, knowledge base documentation, and root cause analysis efforts.<br></span></li><li><span>- Ensure compliance with healthcare regulatory standards and internal IT policies.<br></span></li><li><span>- Support and maintain strong relationships with key customers by providing proactive communication, updates, and technical guidance.<br></span></li><li><span>- Deliver product and service training to administrators, service-level users, and customers as needed.<br></span></li><li><span>- Perform DeepHealth RIS/PACS system updates, upgrades, and maintenance activities.<br></span></li><li><span>- Conduct pre-sales technical evaluations and provide level-of-effort assessments for customer solutions.<br></span></li><li><span>- Integrate and support solutions within public cloud environments and DeepHealth platforms.<br></span></li><li><span>- Design, implement, document, and support technical solutions that meet customer and organizational requirements.<br></span></li><li><span>- Work cross-functionally with internal teams to ensure customer satisfaction, issue resolution, and operational success.<br></span></li><li><span>- Educate customers on system functionality and best practices to optimize healthcare delivery and workflow efficiency.<br></span></li><li><span>- Identify opportunities to improve customer experience and contribute to ongoing operational and service enhancements.<br></span></li></ul><br><br><span>Requirements- Bachelor’s degree in Information Technology, Healthcare Informatics, or a related field, or equivalent professional experience.<br>- Minimum of 5 years of experience in IT support roles.<br>- Minimum of 3 years of experience in a similar healthcare or radiology-focused technical support role.<br>- Strong knowledge of Windows operating systems, including Windows 7 and above and Windows Server.<br>- Strong Linux system administration and command-line experience.<br>- Experience with MSSQL database management and relational database technologies.<br>- Strong understanding of networking concepts, troubleshooting, and infrastructure support.<br>- Experience supporting PACS, RIS, DICOM, HL7, EMR, and other healthcare IT systems.<br>- Proven experience troubleshooting complex software applications and healthcare technology solutions.<br>- Experience with public cloud environments and cloud-based integrations.<br>- Familiarity with scripting, data serialization, and reporting tools such as SSRS.<br>- Strong troubleshooting, analytical thinking, and critical problem-solving skills.<br>- Experience using ticketing systems and ITIL-based support processes.<br>- Strong customer service, relationship management, and call center support experience.<br>- Excellent written and verbal communication skills with both technical and non-technical audiences.<br>- Excellent English communication skills.<br>- Ability to manage multiple priorities and work effectively under pressure.<br>- Ability to collaborate effectively across cross-functional technical and business teams.<br>-<b> Flexibility to work varied schedules and participate in on-call rotations as required (from 2:00 PM to 12:00 AM or 3:00 PM to 1:00 AM)</b><br>- Strong understanding of PC/server hardware platforms and general IT infrastructure.<br><b>This opportunity is remote for Egyptian applicants and Hybrid for Lebanese applicants.</b><br><br></span><br> </div>

<p>Aspire Software is looking for a Data Analyst to join our team in Lebanon.</p> <p> <strong>Here is a little window into our company:</strong> Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals. By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.</p> <p>About the job: </p> <p>This is not a role where you spend your week pulling reports people may or may not look at.</p> <p>We want someone who can get inside the business, understand how Sales, Customer Success, Marketing, Payments, and Finance operate, and turn messy data and manual processes into scalable systems.</p> <p>You will become one of the key owners of our revenue data and HubSpot environment, helping us understand what is happening across the customer lifecycle, improving how our teams operate, and building AI agents and automations that remove repetitive work.</p> <p>You will have significant freedom to identify problems and build solutions.</p> <p> <strong>What Success Looks Like</strong> </p> <p>In your first year, you will help us:</p> <ul> <li>Establish reliable reporting and KPI infrastructure across Sales, Customer Success, Marketing, and Payments</li> <li>Improve the accuracy, structure, and usability of HubSpot across the organization</li> <li>Create a clear view of the entire revenue funnel, from lead through acquisition, onboarding, retention, expansion, and payments adoption</li> <li>Reduce manual reporting and administrative work through automation</li> <li>Build AI agents and workflows that make our teams faster and more effective; with a focus on go to market and reporting</li> <li>Improve forecasting, pipeline visibility, customer segmentation, and revenue analysis</li> <li>Create trusted datasets and dashboards that leadership can use to make decisions quickly</li> <li>Identify revenue opportunities and operational issues before someone has to ask</li> </ul> <p> <strong>What You ll Do</strong> </p> <p> <strong>Revenue Operations &amp; Analytics</strong> </p> <ul> <li>Build and maintain dashboards, reporting, and analytical models across the customer lifecycle</li> <li>Partner with Sales, Customer Success, Marketing, Payments, and Finance to define and track meaningful KPIs</li> <li>Analyze pipeline, conversion, retention, expansion, payments adoption, and customer behavior</li> <li>Help improve forecasting accuracy and pipeline management</li> <li>Identify trends, bottlenecks, anomalies, and opportunities hidden within our data</li> <li>Develop customer segmentation and cohort analysis to support GTM decisions</li> <li>Translate business questions into clear analysis and actionable recommendations</li> <li>Create scalable reporting rather than relying on manual spreadsheets and one-off analysis</li> </ul> <p> <strong>HubSpot Ownership &amp; RevOps</strong> </p> <ul> <li>Help own and continuously improve our HubSpot environment</li> <li>Build and maintain workflows, properties, lifecycle stages, pipelines, reporting, and automation</li> <li>Improve CRM data quality, governance, and consistency</li> <li>Design processes that make HubSpot easier for Sales and Customer Success teams to use correctly</li> <li>Connect HubSpot data with other business systems and datasets</li> <li>Automate lead routing, customer workflows, lifecycle management, alerts, and internal processes</li> <li>Help establish scalable RevOps processes as the company grows</li> </ul> <p> <strong>AI Agents &amp; Automation</strong> </p> <ul> <li>Identify repetitive or manual workflows that can be automated</li> <li>Build AI agents that can analyze information, perform tasks, and support business processes</li> <li>Create workflows that combine AI models, internal data, APIs, and business applications</li> <li>Experiment rapidly with new AI capabilities and turn useful prototypes into repeatable internal tools</li> <li>Build agents for use cases such as research, account intelligence, reporting, data enrichment, customer insights, and internal operations</li> <li>Measure whether automation actually saves time, improves accuracy, or drives better business outcomes</li> <li>Help teams understand where AI is useful and where traditional automation or analytics is the better solution</li> </ul> <p> <strong>Data Quality &amp; Infrastructure</strong> </p> <ul> <li>Combine data from HubSpot and other business systems into consistent reporting</li> <li>Help define our source-of-truth metrics and business definitions</li> <li>Identify and resolve data quality issues</li> <li>Work with Product and Engineering when deeper integrations or data infrastructure are required</li> <li>Document key metrics, processes, workflows, and data definitions so systems can scale with the company</li> </ul> <p> </p><ul> <ul> <li>2 5 years of experience in data analytics, Revenue Operations, Business Operations, or a similar analytical role</li> <li>Strong hands-on experience with <strong>HubSpot</strong> </li> <li>Experience working with Sales, Customer Success, Marketing, or broader GTM organizations</li> <li>Strong SQL and data analysis skills</li> <li>Experience building dashboards and reporting using BI or visualization tools</li> <li>Advanced Excel or Google Sheets capabilities</li> <li>Comfortable working with imperfect datasets and figuring out how to make them useful</li> <li>Experience designing workflows and automating business processes</li> <li>Ability to translate analysis into clear business recommendations</li> <li>Strong curiosity and willingness to dig into how the business actually works</li> <li>Comfortable operating in a fast-moving environment where not everything has already been built</li> </ul> </ul> <p> </p> <p> <strong>AI &amp; Automation Experience</strong> </p> <ul> <li>We are specifically looking for someone who is excited about using AI as a practical business tool.</li> <li>You should have experience experimenting with or building solutions using some combination of:</li> <ul> <li>AI agents and agentic workflows</li> <li>Large language models</li> <li>APIs and webhooks</li> <li>Workflow automation platforms</li> <li>Python or JavaScript</li> <li>Structured prompts and tool calling</li> <li>Data enrichment and research automation</li> <li>Connecting AI models to business applications and internal data</li> </ul> <li>You do not need to be an AI engineer.</li> <li>You do need to be someone who sees a repetitive process and immediately starts wondering whether there is a better way to do it.</li> </ul> <p> </p> <p><br></p><ul> </ul><p><strong>Desired Candidate Profile</strong></p><ul><li>2 5 years of experience in data analytics, Revenue Operations, Business Operations, or a similar analytical role</li><li>Strong hands-on experience with <strong>HubSpot</strong> </li><li>Experience working with Sales, Customer Success, Marketing, or broader GTM organizations</li><li>Strong SQL and data analysis skills</li><li>Experience building dashboards and reporting using BI or visualization tools</li><li>Advanced Excel or Google Sheets capabilities</li><li>Comfortable working with imperfect datasets and figuring out how to make them useful</li><li>Experience designing workflows and automating business processes</li><li>Ability to translate analysis into clear business recommendations</li><li>Strong curiosity and willingness to dig into how the business actually works</li><li>Comfortable operating in a fast-moving environment where not everything has already been built</li></ul> <p> <strong>AI &amp; Automation Experience</strong> </p> <ul><li>We are specifically looking for someone who is excited about using AI as a practical business tool.</li><li>You should have experience experimenting with or building solutions using some combination of:</li><ul><li>AI agents and agentic workflows</li><li>Large language models</li><li>APIs and webhooks</li><li>Workflow automation platforms</li><li>Python or JavaScript</li><li>Structured prompts and tool calling</li><li>Data enrichment and research automation</li><li>Connecting AI models to business applications and internal data</li></ul><li>You do not need to be an AI engineer.</li><li>You do need to be someone who sees a repetitive process and immediately starts wondering whether there is a better way to do it.</li></ul> <p> <strong>You ll Thrive Here If </strong> </p> <ul><ul><li>You like building things from scratch</li><li>You are naturally curious about how businesses make money</li><li>You would rather solve the underlying problem than keep producing the same report every Monday</li><li>You are comfortable moving between data analysis, systems, automation, and business conversations</li><li>You ask good questions and challenge assumptions</li><li>You care about clean data but understand that real-world data rarely starts clean</li><li>You can explain complicated analysis without making it complicated</li><li>You enjoy experimenting with new technology and figuring out where it creates real value</li><li>You want ownership rather than a narrowly defined list of tasks</li></ul></ul>

Noor Kanaan Beauty Zone – City Centre Beirut <br>Noor Kanaan Beauty Zone is looking for an experienced, energetic, and highly organized Female Salon Supervisor to join our team at City Centre Beirut. <br>We are looking for someone who combines strong leadership, excellent customer-service skills, attention to detail, and hands-on operational management. The successful candidate will play a key role in ensuring that the salon operates smoothly every day, that the team delivers a consistently high standard of service, and that every client receives the experience expected from Noor Kanaan Beauty Zone. <br>Key Responsibilities <br>- Supervise the salon's daily operations and ensure smooth coordination between team members. <br>- Lead, organize, and follow up with the salon team throughout the working day. <br>- Ensure that employees respect schedules, attendance, appearance, professional behavior, internal procedures, and service standards. <br>- Monitor the customer journey from arrival and reception through service delivery, payment, rebooking, and departure. <br>- Handle client concerns and complaints professionally and work toward immediate and appropriate solutions. <br>- Ensure a high level of customer service and hospitality at all times. <br>- Support the reception and customer-service team in managing bookings, appointments, cancellations, and client requests. <br>- Monitor appointment flow and coordinate the allocation of clients among available team members. <br>- Encourage rebooking and support initiatives designed to increase customer retention and loyalty. <br>- Follow up on sales performance, service targets, and team productivity. <br>- Monitor the cleanliness, presentation, hygiene, and overall readiness of the salon throughout the day. <br>- Coordinate stock requirements and follow up on products, consumables, and salon supplies. <br>- Support basic HR administration, including attendance, leave requests, staff documentation, onboarding, and employee follow-up. <br>- Assist management in implementing company policies, procedures, promotions, loyalty programs, and customer-service standards. <br>- Prepare regular operational updates and promptly report important client, employee, or operational issues to management. <br>- Support the training and integration of new employees and help maintain a positive, disciplined, and professional working environment

<p>Encogroup Oman is currently hiring an Estimations Engineer. Role Description This is a full-time, on-site role for an Estimations Engineer located in Lebanon. The Senior Estimations Mechanical Engineer will be responsible for leading and managing the estimation process for construction projects. You will work closely with the project management team, engineers, architects, and other stakeholders to develop accurate cost estimates for labor, materials, equipment, and other project-related expenses.</p><h3>Key Responsibilities:</h3><ul><li>Lead the estimation process for construction projects from inception to completion.</li><li>Review project plans, specifications, and other documentation to develop detailed cost estimates.</li><li>Collaborate with the project management team to understand project requirements and constraints.</li><li>Analyze project scope and identify potential risks and opportunities that may impact project costs.</li><li>Prepare accurate quantity take-offs and pricing for labor, materials, equipment, and subcontractor services.</li><li>Prepare a preliminary schedule and duration for the works involved.</li><li>Utilize historical data, industry benchmarks, and cost databases to develop cost estimates.</li><li>Develop and maintain relationships with suppliers, subcontractors, and other industry partners to obtain competitive pricing.</li><li>Evaluate and negotiate pricing proposals from vendors and subcontractors.</li><li>Present cost estimates and proposals to internal stakeholders and external clients.</li></ul><p><strong>Desired Candidate Profile</strong></p><h3>Requirements:</h3><ul><li>Bachelor s degree in mechanical engineering</li><li>Minimum 5 years experience in structural steel and industrial electro-mechanical works</li><li>Previous GCC experience is a plus</li><li>Basic requirement: Fluency in English &amp; Arabic Microsoft office (Outlook, word, excel, PowerPoint) scheduling and planning software.</li></ul>