Model Jobs in Lebanon

<p>We are hiring a talented Quality Assurance Automation Engineer to join our client's team a well-known fintech company.</p><p>Responsibilities:</p><ul><li>Analyze and clarify requirements with engineers or project managers</li><li>Develop and maintain automated test suites for AI-driven applications</li><li>Design tests to validate real-time trading logic</li><li>Automate performance and stress testing for model inference under various market scenarios</li><li>Validate quality and correctness of input data pipelines (market data, sentiment signals, behavioral metrics)</li><li>Collaborate with ML engineers to verify input/output integrity of machine learning models</li><li>Work closely with AI/ML developers, data scientists, and product managers to understand model behavior and business logic</li><li>Suggest solutions to identified product problems</li><li>Identify problem areas and add them to a tracking system</li><li>Investigate product quality to drive improvements and achieve better customer satisfaction</li><li>Maintain test documentation</li></ul><p><strong>Desired Candidate Profile</strong></p><p>Requirements:</p><ul><li>BS in Computer Science or related field</li><li>Experience in QA Automation</li><li>Programming skills in Python (preferred), JavaScript, or Java</li><li>Experience with test automation frameworks like PyTest, Robot Framework, Selenium, or Cypress</li><li>Understanding of the machine learning lifecycle and model testing concepts</li><li>Familiarity with API testing tools (e.g., Postman) and CI/CD tools (e.g., Jenkins, GitHub)</li><li>Experience with data validation in structured and semi-structured formats (JSON, CSV, etc.)</li><li>Experience working with logs, metrics, and monitoring systems (e.g., Grafana)</li><li>Familiarity with ML libraries from a testing perspective</li><li>Experience testing systems involving real-time data, predictive modeling, or sentiment/emotion analysis</li></ul>

✨ **WE’RE HIRING** ✨ <br> <br>**Saleswoman – Women’s Fashion** <br> <br>We are looking for an **experienced & elegant saleswoman** with a passion for **women’s dresses and fashion** to join our team at our **ABC Dbayeh Branch**. <br> <br>???? **Working Hours:** Part time <br>???? **Salary:** $600 <br> <br>???? **Interested? Send your CV via WhatsApp:** <br>**78 999 594** <br> <br>**Join our team & grow with us.** ✨

For a Luxury Fashion house we are looking for a highly organized proactive Showroom Assistant to support our sales team in the daily operations of our luxury showroom <br> <br>Previous experience in retail , luxury fashion <br>Excellent organizational skills 'Strong attention to detail and ability to multitask

<p>We're on the lookout for a dynamic individual to join our team as a Salesperson for a fashion industry in kesserwan.</p><p><strong>Desired Candidate Profile</strong></p><p>Minimum 2 to 3 years of experience in sales within the fashion sector.<br>Proven track record of meeting and exceeding sales targets.<br>Passion for staying updated on current fashion trends.<br>Experience in Retail Sales &amp; Cash Handling<br>Basic knowledge of POS systems and cash handling.<br>Attention to detail and strong organizational skills.</p>

We're looking for an Accountant to join our fashion industry team. The ideal candidate should have at least 3 years of experience in accounting. <br>Schedule: Monday to Friday <br>Location : Kaslik <br>If you meet these qualifications and are interested in joining our team, please submit your CV to hrdepartment.dk@gmail.com

<p>Fidel Verta is hiring! We're looking for a Salesman Saleswoman with experience in Men's Clothing &amp; Fashion Retail. We need someone who knows the field, understands customers, and most importantly, has a strong sales personality and knows how to close a sale.</p><p><strong>Desired Candidate Profile</strong></p><p>Previous experience in Men's Clothing / Fashion Retail</p><p>Strong Sales and Communication Skills</p><p>Confident, energetic, and customer-oriented</p><p>Good knowledge of men's fashion and styling</p><p>Professional appearance and attitude</p><p>Target-driven and motivated</p><p>Experience in premium/exclusive clothing is a plus</p>

<p>Aspire Software is looking for a Data Scientist to join our team in Lebanon. Here is a little window into our company: 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. About the job: We are looking for a Senior Machine Learning Engineer who wants to own that evolution. 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. 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. Demand forecasting: Improve booking-curve and final-occupancy forecasts, including uncertainty estimates that can inform safer pricing decisions. Safe experimentation: Build historical replay, simulation, backtesting, shadow deployment, and controlled rollout capabilities to measure revenue impact before models affect customers. Production ML: Turn models into reliable, tested, and observable Python services, owning the path from experimentation through deployment, monitoring, and rollback. 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. 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. Tech Stack Python 3.11, FastAPI, Pydantic, SQLAlchemy 2.0, 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</p><p><strong>Desired Candidate Profile</strong></p><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><li>Nice to Have You do not need everything on this list: 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>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span><b>Location:&nbsp;</b><span>Lebanon, with regular travel to Africa<br></span><b>Engagement:</b> Long-term consulting assignment<br><b>Duration:</b> 4 years<br><b>Time commitment:</b> Approximately 12–16 weeks per year<br><b>Start date:</b> Q1 2027<br><br>About the Assignment<br></span><p>Our client is a diversified African Group with approximately <b>4,000 employees</b>, and operations across multiple countries and companies.<br></p><br><p>As the Group enters an important phase of transformation, growth and geographic expansion, it is looking to build a modern, scalable and integrated <b>Group Human Resources function</b> capable of supporting the organisation's development through 2030 and beyond.<br></p><br><p>The Group currently has HR leadership within its different business areas but <b>does not yet have a Group HR function or Group CHRO</b>.<br></p><br><p>We are therefore looking for a highly experienced <b>Senior Group HR Transformation Consultant / HR Architect</b> to design and progressively help implement the Group's future HR model.<br></p><br><p>This is not a conventional operational HR role. The assignment is focused on <b>HR strategy, organisational architecture, governance, talent management, leadership development, performance, rewards, HR processes, digitalisation and change management</b> at Group level.<br></p><br>Key Responsibilities<br>Phase 1 – Group HR Strategy &amp; Transformation<br><ul><li><p>Assess the current HR organisation, processes, tools and capabilities across the Group.<br></p><br></li><li><p>Conduct a diagnostic of the existing HR model and identify key gaps and priorities.<br></p><br></li><li><p>Define the <b>Group HR strategy and roadmap through 2030</b>.<br></p><br></li><li><p>Design the appropriate <b>Group HR operating model, organisation and governance structure</b>.<br></p><br></li><li><p>Clarify roles and responsibilities between Group, countries, business units and subsidiaries.<br></p><br></li><li><p>Develop a Group-wide framework for <b>talent management and high-potential identification</b>.<br></p><br></li><li><p>Establish succession planning and leadership pipeline frameworks.<br></p><br></li><li><p>Develop Group approaches to <b>performance management and compensation</b>.<br></p><br></li><li><p>Define recruitment, internal mobility and career development frameworks.<br></p><br></li><li><p>Develop approaches to leadership development, learning and capability building.<br></p><br></li><li><p>Recommend appropriate HR technology, systems and digitalisation initiatives.<br></p><br></li><li><p>Help define and reinforce <b>Group culture, values and leadership principles</b>.<br></p><br></li><li><p>Establish relevant HR KPIs, dashboards and management reporting.<br></p><br></li><li><p>Benchmark the Group's HR organisation and practices against relevant African and international groups.<br></p><br></li><li><p>Prioritise initiatives and establish a practical implementation roadmap.<br></p><br></li></ul>Phase 2 – Implementation &amp; Knowledge Transfer<br><p>Following the development of the HR strategy and roadmap, the consultant will support the Group in progressively implementing the proposed model.<br></p><br><p>Key responsibilities will include:<br></p><br><ul><li><p>Supporting the implementation of the Group HR operating model and governance.<br></p><br></li><li><p>Accompanying the existing HR leadership and teams in deploying new processes, tools and frameworks.<br></p><br></li><li><p>Supporting the implementation of talent, succession, performance and compensation initiatives.<br></p><br></li><li><p>Coaching and transferring knowledge to the internal HR team.<br></p><br></li><li><p>Supporting the development of the next generation of Group HR leadership.<br></p><br></li><li><p>Monitoring implementation progress and recommending adjustments where required.<br></p><br></li><li><p>Ensuring that the Group develops the internal capabilities necessary to independently manage and evolve the HR function over the long term.<br></p><br></li></ul><br><span>RequirementsIdeal Profile<br></span><p>We are looking for a <b>very senior HR transformation professional</b> with a strong track record of designing and implementing HR models within complex organisations.<br></p><br><p>The ideal candidate will have:<br></p><br><ul><li><p><b>15+ years of senior HR / HR transformation experience</b>.<br></p><br></li><li><p>Previous experience as a <b>Group CHRO, CHRO, Group HR Director, HR Transformation Director, senior HR consultant or equivalent</b>.<br></p><br></li><li><p>Proven experience in <b>designing or transforming Group-level HR functions</b>.<br></p><br></li><li><p>Experience working with <b>large, multi-country organisations</b>, ideally across Africa and/or emerging markets.<br></p><br></li><li><p>Strong experience in HR operating models, governance and organisational design.<br></p><br></li><li><p>Demonstrated expertise in talent management, succession planning, performance management and leadership development.<br></p><br></li><li><p>Strong understanding of compensation and reward frameworks.<br></p><br></li><li><p>Experience developing HR strategies and translating them into practical implementation roadmaps.<br></p><br></li><li><p>Experience leading or supporting significant HR transformation and change programmes.<br></p><br></li><li><p>Strong understanding of HR technology and digital transformation.<br></p><br></li><li><p>Ability to operate comfortably with <b>Group-level executives, business leaders and senior HR professionals</b>.<br></p><br></li><li><p>Strong facilitation, influencing and stakeholder-management skills.<br></p><br></li><li><p>A pragmatic, hands-on approach, with the ability to move from strategy and diagnosis to implementation.<br></p><br></li><li><p>Excellent communication and presentation skills.<br></p><br></li><li><p><b>Fluent in Arabic, French and English</b>, with the ability to work effectively with senior stakeholders across Francophone and international environments.<br></p><br></li></ul>Preferred Experience<br><p>Particular consideration will be given to candidates who have:<br></p><br><ul><li><p>Worked with <b>African groups operating across multiple countries and subsidiaries</b>.<br></p><br></li><li><p>Designed HR operating models for diversified or family-owned groups.<br></p><br></li><li><p>Worked with organisations undergoing rapid growth, geographic expansion or governance transformation.<br></p><br></li><li><p>Successfully built Group HR functions where HR previously operated primarily at business-unit or country level.<br></p><br></li><li><p>Experience coaching internal HR leaders and transferring capabilities rather than remaining solely in an advisory capacity.<br></p><br></li></ul>Engagement Details<br><ul><li><p><b>Duration:</b> 4 years<br></p><br></li><li><p><b>Phase 1:</b> 2.5 years<br></p><br></li><li><p><b>Phase 2:</b> 18 months<br></p><br></li><li><p><b>Expected involvement:</b> Approximately 12–16 weeks per year<br></p><br></li><li><p><b>Working model:</b> Hybrid / International, with on-site presence and travel as required<br></p><br></li><li><p><b>Start date:</b> Q1 2027<br></p><br></li><li><p><b>Level:</b> Senior / Executive<br></p><br></li></ul><p>This is a strategic opportunity for an experienced HR transformation leader to <b>design and help build a Group-wide HR function from the ground up</b>, while working closely with senior Group leadership and supporting the development of the internal HR organisation.<br></p><br><br> </div>

<p>Aspire Software is looking for an AI Engineering Manager to join our team in Lebanon. Here is a little window into our company: 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: The AI Engineering Manager leads a cross-functional team (Development &amp; QA) and owns technical architecture, delivery outcomes, AI-enabled system design and driving an AI first culture among your team. This role is both strategic and hands-on. It requires strong expertise in modern AI frameworks, applied AI architectures, and scalable system design. The manager is accountable for delivering stable, secure, AI-powered capabilities not just managing execution.</p><p>Core Responsibilities</p><strong>Technical Leadership &amp; Architecture</strong><ul><li>Own product architecture, including AI/LLM-integrated components</li><li>Design scalable, secure, and maintainable systems</li><li>Lead decisions involving: LLM integration (OpenAI, Azure OpenAI, etc.)</li><li>RAG architectures and vector databases</li><li>AI orchestration frameworks (LangChain, Semantic Kernel, LlamaIndex)</li><li>Ensure system reliability, observability, and cost efficiency</li><li>Establish AI governance and safe usage practices</li></ul><strong>AI Framework &amp; Methodology Expertise</strong><ul><li>Apply modern AI methodologies, including:</li><li>Retrieval-Augmented Generation (RAG)</li><li>Prompt engineering and evaluation</li><li>AI output validation and guardrails</li><li>Human-in-the-loop workflows</li><li>Model monitoring and performance evaluation</li><li>Drive experimentation, A/B testing, and telemetry-based decision making</li></ul><strong>Team Leadership</strong><ul><li>Lead and mentor developers and QA engineers</li><li>Raise AI literacy across the team</li><li>Establish AI-native coding and review standards</li><li>Balance speed, quality, and architectural integrity</li></ul><strong>Delivery &amp; Outcome Ownership</strong><ul><li>Own predictable, high-quality releases</li><li>Ensure AI features are measurable, validated, and production-ready</li><li>Act as technical escalation point</li><li>Drive cross-team alignment with Product, Data, and DevOps</li></ul><strong>AI-Driven Engineering Excellence</strong><ul><li>Leverage AI-assisted development tools to improve velocity</li><li>Optimize AI cost-performance tradeoffs</li><li>Embed automation into testing and CI/CD pipelines</li></ul><p>7+ years software engineering experience, 2+ years in technical leadership</p><p>Hands-on experience building and deploying AI-enabled systems</p><p>Strong knowledge of:</p><ul><li>LLM integration and prompt design</li><li>RAG architectures and vector search</li><li>AI orchestration frameworks</li><li>Cloud platforms (Azure, AWS, or GCP)</li><li>Experience designing scalable distributed systems</li></ul><p>Preferred Experience in regulated industries</p><p>AI governance and compliance knowledge</p><p>Model lifecycle management and monitoring tools</p><p><strong>Desired Candidate Profile</strong></p><p>7+ years software engineering experience, 2+ years in technical leadership</p><p>Hands-on experience building and deploying AI-enabled systems</p><p>Strong knowledge of:</p><ul><li>LLM integration and prompt design</li><li>RAG architectures and vector search</li><li>AI orchestration frameworks</li><li>Cloud platforms (Azure, AWS, or GCP)</li><li>Experience designing scalable distributed systems</li></ul><p>Preferred Experience in regulated industries</p><p>AI governance and compliance knowledge</p><p>Model lifecycle management and monitoring tools</p>

<p>Fidel Verta is looking for a Visual Merchandiser with a strong eye for detail and a passion for men's fashion and retail presentation. We need someone who knows how to turn a store into an experience from window displays and mannequins to product arrangement and styling.</p><p><strong>Desired Candidate Profile</strong></p><ul><li>Previous experience in visual merchandising, preferably in fashion retail</li><li>Strong sense of style, color, and presentation</li><li>Good knowledge of men's fashion and styling</li><li>Creative, organized, and detail-oriented</li><li>Ability to create attractive and commercial displays</li><li>Able to work with store teams and follow brand guidelines</li><li>Retail experience is a strong plus</li></ul>

<p>We're Hiring: Sales Associate (Vendeur / Vendeuse) Women's Fashion</p><p>Join our stores at ABC Dbayeh!</p><p>We're looking for an enthusiastic Vendeur / Vendeuse with a passion for fashion and excellent customer service skills.</p><p><b>Responsibilit</b>ies:</p><ul><li>Welcome and assist customers with their shopping experience</li><li>Provide styling and product recommendations</li><li>Achieve individual and store sales targets</li><li>Maintain store presentation and merchandising standards</li><li>Assist with stock replenishment and inventory</li></ul><p><strong>Desired Candidate Profile</strong></p><p><b>Requirements</b>:</p><ul><li>Previous retail or sales experience is an asset</li><li>Excellent communication and interpersonal skills</li><li>Passion for fashion and customer service</li><li>Positive attitude and team spirit</li><li>Flexibility to work retail hours</li></ul>

<p>We're Hiring: Sales Associate (Vendeur / Vendeuse) Women's Fashion</p><p>Join our stores at ABC Dbayeh!</p><p>We're looking for an enthusiastic Vendeur / Vendeuse with a passion for fashion and excellent customer service skills.</p><p><b>Responsibilit</b>ies:</p><ul><li>Welcome and assist customers with their shopping experience</li><li>Provide styling and product recommendations</li><li>Achieve individual and store sales targets</li><li>Maintain store presentation and merchandising standards</li><li>Assist with stock replenishment and inventory</li></ul><p><strong>Desired Candidate Profile</strong></p><p><b>Requirements</b>:</p><ul><li>Previous retail or sales experience is an asset</li><li>Excellent communication and interpersonal skills</li><li>Passion for fashion and customer service</li><li>Positive attitude and team spirit</li><li>Flexibility to work retail hours</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job Description<br><p><strong>About the Role</strong></p><br><p>We're looking for an AI Engineer to design, build, and scale the systems that power our AI-driven product. You'll work at the intersection of large language models, multi-agent systems, and production software, turning cutting-edge AI capabilities into reliable, user-facing experiences.</p><br><p><strong>What You'll Do</strong></p><br><ul><li>Design and implement LLM-powered pipelines, including prompt engineering, context management, and response synthesis</li><li>Build and optimize multi-agent orchestration systems where AI components interact, reason, and produce coherent outputs</li><li>Develop and maintain integrations with foundation model APIs (Anthropic, OpenAI, and others), managing latency, cost, and reliability at scale</li><li>Implement retrieval-augmented generation (RAG) and memory systems for persistent, context-aware behavior</li><li>Partner with the Evaluation/QA Engineer to build frameworks that measure output quality, coherence, and factual grounding</li><li>Collaborate with product and design to translate workflows into robust technical experiences</li><li>Ship production features across the stack, from the model layer to the application</li></ul><p>Monitor, debug, and improve system performance, token efficiency, and guardrails</p><br><br>Qualifications<br><ul><li>3+ years of software engineering experience, with hands-on work building LLM-powered applications</li><li>Strong proficiency in Python and/or TypeScript/JavaScript</li><li>Experience with LLM APIs, prompt engineering, and agentic frameworks (e.g., LangChain, LlamaIndex, or custom orchestration)</li><li>Familiarity with vector databases and RAG architectures (Pinecone, Weaviate, pgvector, etc.)</li><li>Understanding of multi-agent systems, tool use, and function calling</li><li>Experience designing evaluation and testing strategies for non-deterministic AI outputs</li><li>Solid grasp of API design, async processing, and scalable backend architecture</li><li>Comfort working in a fast-moving, ambiguous, early-stage environment</li></ul><br>Additional Information<br><ul><li>Experience with real-time streaming (WebSockets, SSE) for conversational interfaces</li><li>Background in fine-tuning, model distillation, or inference optimization</li><li>Familiarity with cloud infrastructure (AWS/GCP/Azure) and CI/CD</li><li>Contributions to open-source AI projects</li></ul><br><br> </div>

<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><h4>About the company</h4> <p>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. 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><strong>Pricing intelligence:</strong> Advance our pricing engine using probabilistic forecasting, elasticity estimation, contextual bandits, reinforcement learning, and other appropriate optimization methods.</li> <li><strong>Demand forecasting:</strong> Improve booking-curve and final-occupancy forecasts, including uncertainty estimates that can inform safer pricing decisions.</li> <li><strong>Safe experimentation:</strong> Build historical replay, simulation, backtesting, shadow deployment, and controlled rollout capabilities to measure revenue impact before models affect customers.</li> <li><strong>Production ML:</strong> Turn models into reliable, tested, and observable Python services, owning the path from experimentation through deployment, monitoring, and rollback.</li> <li><strong>Problem-solving and customer investigations:</strong> Debug unexpected pricing, data, integration, and production behavior. Trace customer-reported issues to their root cause and turn incidents into lasting improvements.</li> <li><strong>Data and intelligent experiences:</strong> 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>Speed with quality — ship fast, but ship code and models a staff engineer would approve.</li> <li>AI-native workflow — you don't just know about AI tools, you use them daily to write, debug, and architect.</li> <li>Ownership — pick up a problem and drive it to completion without hand-holding.</li> <li>Simplicity — elegant solutions over over-engineered ones. Minimal code that does the job.</li> <li>Curiosity — our domain (hotel revenue optimization) has real depth. You're excited to learn it.</li> </ul></p><p></p>

<p>Aspire Software is looking for a Data Scientist to join our team in Lebanon. Here is a little window into our company: 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: We are looking for a Senior Machine Learning Engineer who wants to own that evolution. 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><p>What You'll Work On</p><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><p>Tech Stack</p><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><p><strong>Desired Candidate Profile</strong></p><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><p>Nice to Have</p><ul><li>You do not need everything on this list:</li><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><p>What We Value</p><ul><li>Speed with quality: Ship fast, but ship code and models a staff engineer would approve</li><li>AI-native workflow: You don't just know about AI tools, you use them daily to write, debug, and architect</li><li>Ownership: Pick up a problem and drive it to completion without hand-holding</li><li>Simplicity: Elegant solutions over over-engineered ones. Minimal code that does the job</li><li>Curiosity: 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"> Job Description<br><p><strong>About the Role</strong></p><br><p>We're looking for an AI Engineer to design, build, and scale the systems that power our AI-driven product. You'll work at the intersection of large language models, multi-agent systems, and production software, turning cutting-edge AI capabilities into reliable, user-facing experiences.</p><br><p><strong>What You'll Do</strong></p><br><ul><li>Design and implement LLM-powered pipelines, including prompt engineering, context management, and response synthesis</li><li>Build and optimize multi-agent orchestration systems where AI components interact, reason, and produce coherent outputs</li><li>Develop and maintain integrations with foundation model APIs (Anthropic, OpenAI, and others), managing latency, cost, and reliability at scale</li><li>Implement retrieval-augmented generation (RAG) and memory systems for persistent, context-aware behavior</li><li>Partner with the Evaluation/QA Engineer to build frameworks that measure output quality, coherence, and factual grounding</li><li>Collaborate with product and design to translate workflows into robust technical experiences</li><li>Ship production features across the stack, from the model layer to the application</li></ul><p>Monitor, debug, and improve system performance, token efficiency, and guardrails</p><br><br>Qualifications<br><ul><li>3+ years of software engineering experience, with hands-on work building LLM-powered applications</li><li>Strong proficiency in Python and/or TypeScript/JavaScript</li><li>Experience with LLM APIs, prompt engineering, and agentic frameworks (e.g., LangChain, LlamaIndex, or custom orchestration)</li><li>Familiarity with vector databases and RAG architectures (Pinecone, Weaviate, pgvector, etc.)</li><li>Understanding of multi-agent systems, tool use, and function calling</li><li>Experience designing evaluation and testing strategies for non-deterministic AI outputs</li><li>Solid grasp of API design, async processing, and scalable backend architecture</li><li>Comfort working in a fast-moving, ambiguous, early-stage environment</li></ul><br>Additional Information<br><ul><li>Experience with real-time streaming (WebSockets, SSE) for conversational interfaces</li><li>Background in fine-tuning, model distillation, or inference optimization</li><li>Familiarity with cloud infrastructure (AWS/GCP/Azure) and CI/CD</li><li>Contributions to open-source AI projects</li></ul><br><br> </div>

<p>We're hiring an Assistant Shop Manager to join our stores at ABC Dbayeh.</p><p>If you're passionate about fashion, enjoy leading a team, and are committed to delivering an outstanding customer experience, we'd love to hear from you.</p><p><b>Key Responsibilities:</b></p><ul><li>Support the Shop Manager in daily store operations</li><li>Lead and motivate the sales team to achieve targets</li><li>Deliver exceptional customer service</li><li>Ensure visual merchandising standards are maintained</li><li>Assist with inventory management and stock control</li></ul><p><b>Requirements:</b></p><ul><li>Previous retail experience, preferably in fashion</li><li>Leadership and team management skills</li><li>Strong communication and organizational abilities</li><li>Customer-focused with a positive attitude</li><li>Ability to work flexible retail hours</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Previous retail experience, preferably in fashion</li><li>Leadership and team management skills</li><li>Strong communication and organizational abilities</li><li>Customer-focused with a positive attitude</li><li>Ability to work flexible retail hours</li></ul>

<p>We're hiring an Assistant Shop Manager to join our stores at ABC Dbayeh.</p><p>If you're passionate about fashion, enjoy leading a team, and are committed to delivering an outstanding customer experience, we'd love to hear from you.</p><p><b>Key Responsibilities:</b></p><ul><li>Support the Shop Manager in daily store operations</li><li>Lead and motivate the sales team to achieve targets</li><li>Deliver exceptional customer service</li><li>Ensure visual merchandising standards are maintained</li><li>Assist with inventory management and stock control</li></ul><p><b>Requirements:</b></p><ul><li>Previous retail experience, preferably in fashion</li><li>Leadership and team management skills</li><li>Strong communication and organizational abilities</li><li>Customer-focused with a positive attitude</li><li>Ability to work flexible retail hours</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Previous retail experience, preferably in fashion</li><li>Leadership and team management skills</li><li>Strong communication and organizational abilities</li><li>Customer-focused with a positive attitude</li><li>Ability to work flexible retail hours</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>