Model Jobs in Lebanon

<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>

<p>Result of Service The objective of the Individual Contractor (IC) is to design, develop, and deploy production-grade agentic AI systems and LLM-powered solutions in support of the Arab Development Portal and the broader DSDSD innovation mandate. The IC will remain at the forefront of the rapidly evolving AI landscape, translating the latest research advances in large language models, multi-agent frameworks, and AI-assisted workflows into tangible organizational capabilities. Work Location UN-House ESCWA Expected duration 3 months Duties and Responsibilities Background: This position is located in the Decision-Support and Data Science Division (DSDSD). The Division is part of ESCWA's broader modernization and innovation efforts, providing advanced analytics and decision-support services within ESCWA, other UN entities, and Member States. Aligned with the UN 2.0 agenda and grounded in strategic foresight, DSDSD leverages data-driven insights, emerging technologies, and scenario-based planning to anticipate trends and proactively inform policymaking and operations. Its core functions span data integration, data quality assurance, advanced analytics and modeling, machine learning and AI solutions, real-time dashboards, performance reporting, and the design of specialized digital decision-support tools. Through these capabilities, DSDSD empowers evidence-based decision-making, fosters organizational efficiency, and catalyzes strategic innovation across the region. Duties and responsibilities: The Individual Contractor will be responsible for the following tasks: 1. Agentic AI System Design and Development Architect and implement multi-agent systems using frameworks such as LangGraph, AutoGen, CrewAI, or equivalent, capable of orchestrating complex reasoning, retrieval, and action pipelines. Design and deploy Retrieval-Augmented Generation (RAG) systems with advanced retrieval strategies (hybrid search, re-ranking, contextual compression) for knowledge-intensive tasks. Implement tool-use, MCPs, and function-calling patterns enabling agents to interact with external APIs, databases, and computational tools. Develop agent evaluation frameworks, including automated benchmarking, failure analysis, and iterative improvement loops. Basic understanding of Agent Based Modeling (ABM) development and frameworks 2. LLM Integration and Optimization Integrate and benchmark state-of-the-art LLMs (proprietary and open source) across use cases including information extraction, summarization, classification, and question answering on Arabic and multilingual content. Apply prompt engineering, structured output generation, and chain-of-thought techniques to maximize model reliability and task performance. Explore and implement fine-tuning strategies (LoRA, QLoRA, full fine-tuning) where domain adaptation is required. Monitor and optimize inference costs, latency, and throughput for production deployments. 3. AI Infrastructure and API Development Design and implement RESTful and streaming APIs to expose AI capabilities to internal systems and the ADP platform. Containerize AI services using Docker and manage deployments in line with organizational infrastructure standards. Maintain documentation, versioning, and model cards for all deployed AI systems. 4. Research, Innovation, and Collaboration Continuously monitor and evaluate emerging AI research, frameworks, and tooling to identify adoption opportunities aligned with DSDSD's mission. Collaborate with data engineers, ML engineers, and domain experts to integrate AI capabilities into end-to-end data products. Prepare technical reports, demonstrations, and presentations to communicate AI system design and findings to both technical and non-technical stakeholders. Languages English and French are the working languages of the United Nations Secretariat; and Arabic is a working language of ESCWA. For this position, fluency in English is required. Note: Fluency equals a rating of fluent in all four areas (speak, read, write, and understand) and Knowledge of equals a rating of confident in two of the four areas. Additional Information Recruitment for this position is on a local basis. The incumbent is required to have the legal right to live and work in the specified working location. No Fee THE UNITED NATIONS DOES NOT CHARGE A FEE AT ANY STAGE OF THE RECRUITMENT PROCESS (APPLICATION, INTERVIEW MEETING, PROCESSING, OR TRAINING). THE UNITED NATIONS DOES NOT CONCERN ITSELF WITH INFORMATION ON APPLICANTS BANK ACCOUNTS.</p><p><strong>Desired Candidate Profile</strong></p><p>A bachelor's degree in computer science, artificial intelligence, data science or a related area is required. A master's degree in a related field is desirable. All candidates must submit a copy of the required educational degree. Incomplete applications will not be reviewed. A minimum of 5 years of professional experience in AI/ML engineering or software engineering with a demonstrated AI focus is required. Hands-on experience designing and deploying agentic systems using multi-agent frameworks (LangGraph, AutoGen, CrewAI, or equivalent) is required. Proficiency in Python and experience with LLM APIs (OpenAI, Anthropic, Mistral, or open-source alternatives via Ollama or HuggingFace) is required. Demonstrated knowledge of the current LLM and AI landscape, including frontier model capabilities, benchmarks, and limitations, is required. Experience with RAG architectures, vector databases (FAISS, Weaviate, Qdrant, or equivalent), and semantic search is desirable. Familiarity with model fine-tuning, RLHF, and evaluation methodologies is desirable. Knowledge of Arabic NLP and multilingual model handling is desirable.</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Result of Service<br>The objective of the Individual Contractor (IC) is to design, develop, and deploy production-grade agentic AI systems and LLM-powered solutions in support of the Arab Development Portal and the broader DSDSD innovation mandate. The IC will remain at the forefront of the rapidly evolving AI landscape, translating the latest research advances in large language models, multi-agent frameworks, and AI-assisted workflows into tangible organizational capabilities.<br> Work Location<br>UN-House ESCWA<br> Expected duration<br>3 months<br> Duties and Responsibilities<br>Background: This position is located in the Decision-Support and Data Science Division (DSDSD). The Division is part of ESCWA's broader modernization and innovation efforts, providing advanced analytics and decision-support services within ESCWA, other UN entities, and Member States. Aligned with the UN 2.0 agenda and grounded in strategic foresight, DSDSD leverages data-driven insights, emerging technologies, and scenario-based planning to anticipate trends and proactively inform policymaking and operations. Its core functions span data integration, data quality assurance, advanced analytics and modeling, machine learning and AI solutions, real-time dashboards, performance reporting, and the design of specialized digital decision-support tools. Through these capabilities, DSDSD empowers evidence-based decision-making, fosters organizational efficiency, and catalyzes strategic innovation across the region. Duties and responsibilities: The Individual Contractor will be responsible for the following tasks: 1. Agentic AI System Design and Development • Architect and implement multi-agent systems using frameworks such as LangGraph, AutoGen, CrewAI, or equivalent, capable of orchestrating complex reasoning, retrieval, and action pipelines. • Design and deploy Retrieval-Augmented Generation (RAG) systems with advanced retrieval strategies (hybrid search, re-ranking, contextual compression) for knowledge-intensive tasks. • Implement tool-use, MCPs, and function-calling patterns enabling agents to interact with external APIs, databases, and computational tools. • Develop agent evaluation frameworks, including automated benchmarking, failure analysis, and iterative improvement loops. • Basic understanding of Agent Based Modeling (ABM) development and frameworks 2. LLM Integration and Optimization • Integrate and benchmark state-of-the-art LLMs (proprietary and open source) across use cases including information extraction, summarization, classification, and question answering on Arabic and multilingual content. • Apply prompt engineering, structured output generation, and chain-of-thought techniques to maximize model reliability and task performance. • Explore and implement fine-tuning strategies (LoRA, QLoRA, full fine-tuning) where domain adaptation is required. • Monitor and optimize inference costs, latency, and throughput for production deployments. 3. AI Infrastructure and API Development • Design and implement RESTful and streaming APIs to expose AI capabilities to internal systems and the ADP platform. • Containerize AI services using Docker and manage deployments in line with organizational infrastructure standards. • Maintain documentation, versioning, and model cards for all deployed AI systems. 4. Research, Innovation, and Collaboration • Continuously monitor and evaluate emerging AI research, frameworks, and tooling to identify adoption opportunities aligned with DSDSD's mission. • Collaborate with data engineers, ML engineers, and domain experts to integrate AI capabilities into end-to-end data products. • Prepare technical reports, demonstrations, and presentations to communicate AI system design and findings to both technical and non-technical stakeholders.<br> Qualifications/special skills<br>A bachelor's degree in computer science, artificial intelligence, data science or a related area is required. A master's degree in a related field is desirable. All candidates must submit a copy of the required educational degree. Incomplete applications will not be reviewed. A minimum of 5 years of professional experience in AI/ML engineering or software engineering with a demonstrated AI focus is required. Hands-on experience designing and deploying agentic systems using multi-agent frameworks (LangGraph, AutoGen, CrewAI, or equivalent) is required. Proficiency in Python and experience with LLM APIs (OpenAI, Anthropic, Mistral, or open-source alternatives via Ollama or HuggingFace) is required. Demonstrated knowledge of the current LLM and AI landscape, including frontier model capabilities, benchmarks, and limitations, is required. Experience with RAG architectures, vector databases (FAISS, Weaviate, Qdrant, or equivalent), and semantic search is desirable. Familiarity with model fine-tuning, RLHF, and evaluation methodologies is desirable. Knowledge of Arabic NLP and multilingual model handling is desirable.<br> Languages<br>English and French are the working languages of the United Nations Secretariat; and Arabic is a working language of ESCWA. For this position, fluency in English is required. Note: “Fluency” equals a rating of ‘fluent’ in all four areas (speak, read, write, and understand) and “Knowledge of” equals a rating of ‘confident’ in two of the four areas.<br> Additional Information<br>Recruitment for this position is on a local basis. The incumbent is required to have the legal right to live and work in the specified working location.<br> No Fee<br>THE UNITED NATIONS DOES NOT CHARGE A FEE AT ANY STAGE OF THE RECRUITMENT PROCESS (APPLICATION, INTERVIEW MEETING, PROCESSING, OR TRAINING). THE UNITED NATIONS DOES NOT CONCERN ITSELF WITH INFORMATION ON APPLICANTS’ BANK ACCOUNTS.<br><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Result of Service<br>The ultimate result of service of the consultancy is to support ESCWA in providing technical assistance and capacity development to PCBS on risk management for statistical work, using the GSBPM as the main reference framework. The support will help PCBS staff review current arrangements, identify gaps and priority areas, and develop practical tools, procedures and a phased action plan aligned with the existing national strategy for the development of statistics and the requirements of the National Statistical System.<br> Work Location<br>Remote<br> Expected duration<br>3 months<br> Duties and Responsibilities<br>Background The Palestinian Central Bureau of Statistics (PCBS) submitted a technical cooperation request to the United Nations Economic and Social Commission for Western Asia (ESCWA) for technical advisory and capacity-development support in risk management for statistical work. The request aims to strengthen the capacity of PCBS staff to identify, assess, mitigate and monitor risks that may affect the production of official statistics, in accordance with the Generic Statistical Business Process Model (GSBPM). The GSBPM will serve as the main reference framework for linking risk management to the phases of statistical production. This support is particularly relevant in the Palestinian context, where political, security and humanitarian conditions may affect field data collection, access to certain areas and population groups, staff mobility, administrative data flows, digital infrastructure, dissemination, and the continuity of statistical production. ESCWA will provide the requested support with the assistance of an international consultant. The proposed support will focus on enabling PCBS staff to develop a practical and applicable approach for managing risks related to statistical work according to the GSBPM phases, strengthening institutional preparedness, continuity, quality and reliability of official statistics, and ensuring alignment with the existing national strategy for the development of statistics and coordination requirements within the National Statistical System. Technical support is expected to start remotely during the initial phase. It may subsequently be built upon through more interactive technical support and capacity-development modalities, including in-person technical meetings, face-to-face training or a hybrid format, whenever feasible, as a future direction to be considered in light of progress and available resources. Duties and Responsibilities Under the overall supervision of ESCWA's Project Coordinator and in close coordination with PCBS, the consultant will: 1. Undertake a review of the current situation, covering relevant documents, policies, procedures and practices, complemented by interviews and working sessions with the relevant technical and administrative departments. 2. Support PCBS in assessing risks across the main phases of the GSBPM: needs, design, build, collection, processing, analysis, dissemination and evaluation. 3. Provide online technical guidance and capacity-development sessions on risk concepts, GSBPM-based risk mapping, risk registers, mitigation measures, monitoring and reporting. 4. Assist PCBS in developing a practical risk management approach for statistical work, including roles, responsibilities, coordination mechanisms, escalation procedures and review arrangements. 5. Support the preparation of practical tools and templates, including a risk register, risk assessment matrix, mitigation plan, monitoring format and reporting template. 6. Assist PCBS in preparing a phased action plan for implementation, including priority activities, roles and responsibilities, timeline, technical and institutional needs, and monitoring and evaluation indicators, ensuring alignment with the existing national strategy for the development of statistics and the requirements of the National Statistical System. The action plan should include a pilot phase to test the proposed tools and templates before their adoption and scale-up, as well as a clear mechanism for knowledge transfer and sustainability of institutional application, and finalize outputs based on comments from ESCWA and PCBS.<br> Qualifications/special skills<br>A Master's degree in statistics, data management, risk management, public administration, institutional development or a related field is required. All candidates must submit a copy of the required educational degree. Incomplete applications will not be reviewed. At least seven years of relevant professional experience in official statistics, statistical systems, risk management, business continuity or institutional governance is required. Demonstrated knowledge of the GSBPM and its application in official statistics is required. Experience working with national statistical offices or public institutions and in capacity development or online training is desirable. Knowledge of crisis-affected or fragile contexts is desirable. Excellent analytical, drafting and communication skills are desirable.<br> Languages<br>English and French are the working languages of the United Nations Secretariat; and Arabic is a working language of ESCWA. For this position, fluency in English is required, and knowledge of Arabic is desirable. Note: “Fluency” equals a rating of ‘fluent’ in all four areas (speak, read, write, and understand) and “Knowledge of” equals a rating of ‘confident’ in two of the four areas.<br> Additional Information<br>Not available.<br> No Fee<br>THE UNITED NATIONS DOES NOT CHARGE A FEE AT ANY STAGE OF THE RECRUITMENT PROCESS (APPLICATION, INTERVIEW MEETING, PROCESSING, OR TRAINING). THE UNITED NATIONS DOES NOT CONCERN ITSELF WITH INFORMATION ON APPLICANTS’ BANK ACCOUNTS.<br><br><br> </div>

<p>Assess the current HR organisation, processes, tools and capabilities across the Group. Conduct a diagnostic of the existing HR model and identify key gaps and priorities. Define the Group HR strategy and roadmap through 2030 . Design the appropriate Group HR operating model, organisation and governance structure . Clarify roles and responsibilities between Group, countries, business units and subsidiaries. Develop a Group-wide framework for talent management and high-potential identification . Establish succession planning and leadership pipeline frameworks. Develop Group approaches to performance management and compensation . Define recruitment, internal mobility and career development frameworks. Develop approaches to leadership development, learning and capability building. Recommend appropriate HR technology, systems and digitalisation initiatives. Help define and reinforce Group culture, values and leadership principles . Establish relevant HR KPIs, dashboards and management reporting. Benchmark the Group's HR organisation and practices against relevant African and international groups. Prioritise initiatives and establish a practical implementation roadmap. Phase 2 u2013 Implementation &amp; Knowledge Transfer Following the development of the HR strategy and roadmap, the consultant will support the Group in progressively implementing the proposed model. Key responsibilities will include: Supporting the implementation of the Group HR operating model and governance. Accompanying the existing HR leadership and teams in deploying new processes, tools and frameworks. Supporting the implementation of talent, succession, performance and compensation initiatives. Coaching and transferring knowledge to the internal HR team. Supporting the development of the next generation of Group HR leadership. Monitoring implementation progress and recommending adjustments where required. Ensuring that the Group develops the internal capabilities necessary to independently manage and evolve the HR function over the long term.</p><p><strong>Desired Candidate Profile</strong></p><p>We are looking for a very senior HR transformation professional with a strong track record of designing and implementing HR models within complex organisations. The ideal candidate will have: 15+ years of senior HR / HR transformation experience . Previous experience as a Group CHRO, CHRO, Group HR Director, HR Transformation Director, senior HR consultant or equivalent . Proven experience in designing or transforming Group-level HR functions . Experience working with large, multi-country organisations , ideally across Africa and/or emerging markets. Strong experience in HR operating models, governance and organisational design. Demonstrated expertise in talent management, succession planning, performance management and leadership development. Strong understanding of compensation and reward frameworks. Experience developing HR strategies and translating them into practical implementation roadmaps. Experience leading or supporting significant HR transformation and change programmes. Strong understanding of HR technology and digital transformation. Ability to operate comfortably with Group-level executives, business leaders and senior HR professionals . Strong facilitation, influencing and stakeholder-management skills. A pragmatic, hands-on approach, with the ability to move from strategy and diagnosis to implementation. Excellent communication and presentation skills. Fluent in Arabic, French and English , with the ability to work effectively with senior stakeholders across Francophone and international environments.</p><p>Particular consideration will be given to candidates who have: Worked with African groups operating across multiple countries and subsidiaries . Designed HR operating models for diversified or family-owned groups. Worked with organisations undergoing rapid growth, geographic expansion or governance transformation. Successfully built Group HR functions where HR previously operated primarily at business-unit or country level. Experience coaching internal HR leaders and transferring capabilities rather than remaining solely in an advisory capacity.</p>

GEORGES HOBEIKA fashion house is seeking a warm and welcoming Front Desk & Client Relations Coordinator to join its Beirut showroom. <br> <br>The role involves welcoming and engaging with an exclusive clientele, managing showroom reception and salon flow, coordinating appointments <br> <br>✨ Requirements: <br>* Elegant, warm & professional presence <br>* Excellent communication and interpersonal skills <br>* Strong organizational skills & attention to detail <br>* Previous experience in luxury, hospitality, fashion or a similar environment is a plus <br>* Fluent in English; French is a plus <br>email: hr@georgeshobeika.com

<p><b>Saleswoman – Women’s Fashion</b></p><p><br></p><p>We are looking for an **experienced &amp; elegant saleswoman** with a passion for **women’s dresses and fashion** to join our team at our **ABC Dbayeh Branch</p>

FRONT DESK & CLIENT RELATIONS COORDINATOR <br> <br> <br> <br>GEORGES HOBEIKA fashion house is seeking a warm and welcoming Front Desk & Client Relations Coordinator to join its Beirut showroom. <br> <br> <br> <br>The role involves welcoming and engaging with an exclusive clientele, managing showroom reception and salon flow, coordinating appointments <br> <br> <br> <br>✨ Requirements: <br> <br>* Elegant, warm & professional presence <br> <br>* Excellent communication and interpersonal skills <br> <br>* Strong organizational skills & attention to detail <br> <br>* Previous experience in luxury, hospitality, fashion or a similar environment is a plus <br> <br>* Fluent in English; French is a plus <br> <br>email: hr@georgeshobeika.com

<p><br></p><p>We re looking for a creative, energetic &amp; trend-driven Content Creator to work across two exciting worlds: Events &amp; Weddings and Haute Couture.</p><p>Location: Downtown Beirut</p><p>What you ll be doing:</p><ul><li>Create engaging content for Instagram, TikTok &amp; other social platforms</li><li>Shoot high-quality photos &amp; videos using both phone and professional camera</li><li>Cover weddings, events, fittings, photoshoots &amp; behind-the-scenes moments</li><li>Create Reels, TikToks, Stories and short-form videos</li><li>Edit videos and photos into polished, engaging content</li><li>Capture the details, atmosphere and emotions behind our events</li><li>Showcase couture pieces, fittings, collections &amp; craftsmanship</li><li>Follow current social media trends and adapt them creatively to our brands</li><li>Work closely with the creative, marketing, events and fashion teams</li><li>Bring fresh ideas and concepts to the table</li></ul><p>Apply Now</p><p><strong>Desired Candidate Profile</strong></p><p>What we re looking for:</p><ul><li>Previous experience in content creation, social media or digital content</li><li>Strong shooting and video editing skills</li><li>A good eye for fashion, aesthetics, storytelling &amp; details</li><li>Comfortable attending and covering events when required</li><li>Creative, energetic and proactive</li><li>Up to date with Instagram &amp; TikTok trends</li><li>Experience in fashion, weddings, luxury, lifestyle or events is a strong plus</li><li>Portfolio or examples of previous work are required</li></ul><p><br></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Aspire Software is looking for an AI Engineering Manager 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: 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.<br> This role is both strategic and hands-on.<br> It requires strong expertise in modern AI frameworks, applied AI architectures, and scalable system design.<br> The manager is accountable for delivering stable, secure, AI-powered capabilities — not just managing execution.<br> Core Responsibilities Technical Leadership &amp; Architecture Own product architecture, including AI/LLM-integrated components Design scalable, secure, and maintainable systems Lead decisions involving: LLM integration (OpenAI, Azure OpenAI, etc.<br>) RAG architectures and vector databases AI orchestration frameworks (LangChain, Semantic Kernel, LlamaIndex) Ensure system reliability, observability, and cost efficiency Establish AI governance and safe usage practices AI Framework &amp; Methodology Expertise Apply modern AI methodologies, including: Retrieval-Augmented Generation (RAG) Prompt engineering and evaluation AI output validation and guardrails Human-in-the-loop workflows Model monitoring and performance evaluation Drive experimentation, A/B testing, and telemetry-based decision making Team Leadership Lead and mentor developers and QA engineers Raise AI literacy across the team Establish AI-native coding and review standards Balance speed, quality, and architectural integrity Delivery &amp; Outcome Ownership Own predictable, high-quality releases Ensure AI features are measurable, validated, and production-ready Act as technical escalation point Drive cross-team alignment with Product, Data, and DevOps AI-Driven Engineering Excellence Leverage AI-assisted development tools to improve velocity Optimize AI cost-performance tradeoffs Embed automation into testing and CI/CD pipelines 7+ years software engineering experience, 2+ years in technical leadership Hands-on experience building and deploying AI-enabled systems Strong knowledge of: LLM integration and prompt design RAG architectures and vector search AI orchestration frameworks Cloud platforms (Azure, AWS, or GCP) Experience designing scalable distributed systems Preferred Experience in regulated industries AI governance and compliance knowledge Model lifecycle management and monitoring tools</span> </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><b>The Team:</b><p><span><span>You will become a part of the</span><span>Trading Instruments and Analytics</span><span>Domain (</span><span>TIA</span><span>) which is at</span><span>the</span><span>heart of MX.3 software evolution,</span><span>where you</span><span>will become a member of</span><span>the Financial Engineering team</span><span>.</span><span>Our multi-cultural team</span><span>designs,</span><span>validates</span><span>and delivers Murex Advanced Analytics (MACS) which is a combination</span><span>o</span><span>f</span><span>rich</span><span>catalogue</span><span>of derivative products</span><span>covering all asset classes</span><span>, and a</span><span>large set of models for evaluation and risk management</span><span>of derivatives</span><span>.</span></span></p><br><br><p><span><span>We work closely with</span><span>the</span><span>quant</span><span>development and integration teams</span><span>to enhance our</span><span>products and models</span><span>. We</span><span>provide</span><span>our</span><span>quantitative</span><span>expertise</span><span>and collaborate with</span><span>F</span><span>ront</span><span>O</span><span>ffice</span><span>Trading</span><span>teams like EQD, Non-Linear</span><span>Rates, FXD, COM</span><span>, etc. to build trading solutions</span><span>.</span><span>Similarly, we</span><span>assist</span><span>Client Services and regional offices across the globe to provide</span><span>cutting-edge</span><span>solutions</span><span>for</span><span>our clients.</span></span></p><br><br><p><span><span>As an illustration of subjects, t</span><span>he team is currently</span><span>investing</span><span>heavily in</span><span>the evolution and deployment of the</span><span>last generation of</span><span>Stochastic-Local Volatility model</span><span>for</span><span>FX and</span><span>equity</span><span>derivatives</span><span>powered by neural networks acceleration</span><span>,</span><span>as well as</span><span>the</span><span>Forward Market Model for the</span><span>interest rates derivatives</span><span>, but also on the modernization of the integration stack of our</span><span>whole</span><span>catalogue of</span><span>analytics</span><span>.</span><span>We</span><span>leverage</span><span>our</span><span>REST service</span><span>s</span><span>based</span><span>internal</span><span>ecosystem</span><span>for model validation</span><span>,</span><span>with</span><span>access to market data, and MACS</span><span>pricing</span><span>Service</span><span>,</span><span>to conduct</span><span>the large</span><span>-scale model tests using python.</span><span>And we would like to automate</span><span>our products testing further using</span><span>MX.</span><span>3 last</span><span>generation of</span><span>public</span><span>APIs.</span></span></p><br><b><span>What</span><span>you’ll</span><span>do</span></b><span><span>​:</span></span><p><span><span>You will be working alongside financial engineers</span><span>,</span><span>consultants, quant analysts, model developers, model</span><span>validators</span><span>and product experts</span><span>worldwide</span><span>.</span></span></p><br><br><p><span><span>As a part of the cross</span><span>-</span><span>asset team, you will be contributing towards the common goal</span><span>of the</span>Analyticsproduct management<span>, more precisely:</span></span></p><br><br><p><span><span>Product support:</span>&nbsp;</span></p><br><br><ul><li><p><span><span>addressing client questions</span></span></p><br></li></ul><br><ul><li><p><span><span>analysis of derivatives mispricing</span></span></p><br></li></ul><br><ul><li><p><span><span>organizing corrective maintenance w</span><span>ith</span><span>development teams</span></span></p><br></li></ul><br><ul><li><p><span><span>enhancement of product documentation</span></span></p><br></li></ul><br><p><span><span>Product evolution:</span>&nbsp;</span></p><br><br><ul><li><p><span><span>analysis of client business requirements</span></span></p><br></li></ul><br><ul><li><p><span><span>following market trends and</span><span>establishment of</span><span>the</span><span>solution</span><span>roadmap</span></span></p><br></li></ul><br><ul><li><p><span><span>preparation of</span><span>product</span><span>specifications</span><span>to address internal or client requirements</span></span></p><br></li></ul><br><ul><li><p><span><span>validation of payoffs and models</span></span></p><br></li></ul><br><ul><li><p><span><span>documentation &amp; demonstration of the new functionalities</span></span></p><br></li></ul><br><p><span><span>As a</span>teammember</span><span><span>within</span><span>an experienced</span><span>agile</span><span>team</span><span>composed of consultants and developers</span><span>,</span><span>you</span><span>will</span><span>learn</span><span>and</span><span>participate</span><span>by</span><span>bring</span><span>ing</span><span>context of</span><span>requirements</span><span>to</span><span>developers</span><span>,</span><span>participate</span><span>in</span><span>new</span><span>features testing</span><span>,</span><span>team</span><span>demos</span><span>and</span><span>production of test reports for our customers.</span></span></p><br><b><span>Who you are</span></b><span><span>​:</span></span><ul><li><p><span><span>You are passionate about technology and financial mathematics</span></span></p><br></li></ul><br><ul><li><p><span><span>Strong academic background in a quantitative field (</span><span>Computer Science,</span><span>E</span><span>ngineering,</span><span>Physics, Mathematics w/ understanding of stochastic processes</span><span>)</span></span></p><br></li></ul><br><ul><li><p><span><span>Financial mathematics background is a plus</span></span></p><br></li></ul><br><ul><li><p><span><span>You have strong analytical and problem-solving skills</span><span>.</span></span></p><br></li></ul><br><ul><li><p><span><span>You can</span><span>leverage</span><span>a programming language (</span><span>e.g.</span><span>python) to enhance your productivity</span><span>.</span></span></p><br></li></ul><br><ul><li><p><span><span>You can efficiently communicate in multicultural environment</span><span>:</span><span>English is</span><span>a must</span><span>.</span></span></p><br></li></ul><br><ul><li><p><span><span>In each</span><span>challenge</span><span>you see an opportunity</span><span>for</span><span>growth</span><span>.</span></span></p><br></li></ul><br><ul><li><p><span><span>You can handle</span><span>multiple projects in parallel</span><span>and adapt to</span><span>eventual</span><span>emergencies</span><span>.</span></span></p><br></li></ul><b><span>Why should you join us:</span></b><ul><li><p><span><span>Joining the Financial Engineering team will allow you to rapidly gain exposure to lots of different exotic products and models, learning market practices from the Murex experts and clients with plenty of opportunities to learn.</span></span></p><br></li></ul><br><ul><li><p><span><span>You will</span><span>ultimately</span><span>become</span><span>a</span><span>cross-asset</span><span>expert</span><span>with</span><span>an unparalleled</span><span>exposure to financial products and their models</span><span>.</span></span></p><br></li></ul><br><ul><li><p><span><span>You will be working closely with</span><span>the</span><span>quant</span><span>team,</span><span>gaining invaluable insights</span><span>on</span><span>model development and evolution.</span></span></p><br></li></ul><br><ul><li><p><span><span>You will join a company</span><span>with</span><span>strong core values and a long-term vision supported by investment in people</span><span>.&nbsp;</span></span></p><br></li></ul><br><ul><li><p><span><span>You will be working in</span><span>an</span><span>environment</span><span>which promotes collaboration, innovation, and growth</span><span>.</span></span></p><br></li></ul><br><ul><li><p><span><span>You have a chance to make a positive impact on the Trading solution with your propositions being</span><span>delivered</span><span>in MX.3 and used by</span><span>large</span><span>financial institutions across the world.</span></span></p><br></li></ul><br><br><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><b>We’re Hiring: AI Software Engineer</b></p><p><br></p><p><b>Industry: AI / LLM Systems / Production-Grade Applications</b></p><p><br></p><p><b>About the Role</b></p><p><br></p><p>We are building production-grade AI systems powered by large language models. We are looking for an <b>AI Software Engineer</b> who deeply understands LLM behavior and can design reliable, efficient, and measurable AI systems not just call APIs. You will architect multi-step agent workflows, improve determinism, reduce hallucinations, and build evaluation systems that continuously measure accuracy and performance.</p><p><br></p><p><b>What You’ll Do</b></p><p><br></p><ul><li>Design and implement multi-step agent workflows</li><li>Build robust tool-calling systems for database interactions</li><li>Engineer context systems (schema compression, retrieval pipelines, token budgeting)</li><li>Improve structured output reliability (JSON schemas, function calls, validation)</li><li>Reduce hallucinations and improve model determinism</li><li>Generate and optimize complex SQL queries (joins, CTEs, performance tuning)</li><li>Build evaluation harnesses and regression testing systems for prompts</li><li>Benchmark models (Claude, GPT, Gemini, etc.)</li><li>Optimize token usage and latency</li></ul> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><p><b>What We’re Looking For</b></p><p><br></p><p><b>Core Requirements</b></p><p><br></p><ul><li>Deep understanding of LLM behavior (not just API usage)</li><li>Experience with agent frameworks (Claude Agents SDK, LangChain, Agno, etc.)</li><li>Strong prompt and context architecture experience</li><li>Structured outputs and validation systems</li><li>Strong SQL skills (joins, CTEs, performance optimization)</li><li>Strong Python skills</li></ul><p><b>Bonus Points</b></p><ul><li>You’ve shipped an LLM system to production</li><li>You’ve built evaluation systems</li><li>You’ve deployed production conversational chat AIs</li></ul><p><br></p><p><b><span></span>Success Metrics</b></p><p><br></p><p>We care about measurable results:</p><ul><li>Improved model accuracy</li><li>Reduced hallucination rate</li><li>Lower token usage per query</li><li>Faster response times</li><li>Clean, well-reasoned system design</li></ul></div>

1. About KASAKA <br>KASAKA is a luxury retail company that specializes in sourcing European luxury fashion brands and selling them to the Lebanese market. KASAKA has been in the fashion industry for over 40 years and currently has 3 physical stores in operation and an online store. Amongst the brands managed by KASAKA are Emporio Armani, Maison Valentino and other European brands. <br> <br>2. Role Purpose <br>The role is assist customers and sell clothing and accessories in our Emporio Armani monobrand store in ABC Dbayeh. The objective of the role is to drive the sales activity of the store and assist customers with solutions to suit their fashion needs. <br> <br>3. Time Commitment <br>• This is a full-time ongoing role, it is paid through a fixed salary. <br>• Working schedule is based on shift work in ABC Dbayeh (10am-10pm). Candidate is expected to work 8 hour shifts (AM or PM) as well as every other weekend shift. <br> <br>4. Objectives <br>• Drive and grow Emporio Armani's sales activity <br>• Ensure customer satisfaction and repeat business for the store <br>• Offer solutions based on total outfits to encourage cross-sales and up-sales <br>• Ensure stock is adequately replenished with items from the warehouse <br>• Assist with Tag Privé’s social media activity <br> <br>5. Deliverables <br>• Daily engagement with customers and advise them on items that suit their needs <br>• Create display looks on mannequins and display tools <br>• Utilise sales and stock management system on a daily basis <br>• Cash management and invoicing of customer purchases <br>• Detailed understanding of stock and daily replenishment from warehouse items <br>• Ensure customer satisfaction and repeat business for the shop <br>• Engage with sister stores to understand item availability <br>• Engage with customers for seasonal arrivals and sales period <br>• Support marketing team with content for the purpose of social media <br>• Delivers insight on popular items and items that performed less <br> <br>6. Candidate Profile <br>The ideal candidate will be a sales professional, with solid fashion styling and customer facing skills. <br>• Self-starter, motivated individual <br>• Excellent communication and persuasion skills <br>• Excellent customer engagement skills <br>• Skilled with merchandise display, can put an outfit together on shop windows <br>• Comfortable using sales invoicing tools as well as Office software (Excel, Word, Powerpoint) <br>• Experience in the fashion/retail industry <br>• Able to think on their feet to attend to customer’s needs <br>• Complies with company policies and adopt discount methods based on sales seasons <br>• Can adapt display to merchandise performance

<p>GEORGES HOBEIKA fashion house is seeking a warm and welcoming Front Desk &amp; Client Relations Coordinator to join its Beirut showroom.</p><p>The role involves welcoming and engaging with an exclusive clientele, managing showroom reception and salon flow, coordinating appointments.</p><p><strong>Desired Candidate Profile</strong></p><ul><li>Elegant, warm &amp; professional presence</li><li>Excellent communication and interpersonal skills</li><li>Strong organizational skills &amp; attention to detail</li><li>Previous experience in luxury, hospitality, fashion or a similar environment is a plus</li><li>Fluent in English; French is a plus</li></ul>

Are you passionate about fashion, furniture, interior design, and decoration? Do you have a creative eye and know how to turn beautiful products into engaging content? <br> <br>We’re looking for an experienced Content Creator to join our team. <br> <br>What we’re looking for: <br>Experience in content creation, photography, and videography <br>Strong background or knowledge in furniture, decoration, interiors, and fashion <br>Excellent sense of aesthetics, styling, and visual storytelling <br>Experience creating content for Instagram, TikTok, and social media <br>Ability to create creative concepts, reels, photos, and engaging stories <br>Knowledge of video/photo editing tools <br>Creative, detail-oriented, and up to date with the latest trends <br>If you’re creative, stylish, and passionate about creating beautiful visual content, we’d love to hear from you!

<p>Are you passionate about fashion, furniture, interior design, and decoration? Do you have a creative eye and know how to turn beautiful products into engaging content?</p><p>We re looking for an experienced Content Creator to join our team.</p><p><strong>Desired Candidate Profile</strong></p><ul><li>Experience in content creation, photography, and videography</li><li>Strong background or knowledge in furniture, decoration, interiors, and fashion</li><li>Excellent sense of aesthetics, styling, and visual storytelling</li><li>Experience creating content for Instagram, TikTok, and social media</li><li>Ability to create creative concepts, reels, photos, and engaging stories</li><li>Knowledge of video/photo editing tools</li><li>Creative, detail-oriented, and up to date with the latest trends</li></ul>

Role Description <br> <br>The Accountant will support the finance team with day-to-day accounting operations in an on-site, full-time role based in Beirut Governorate, Lebanon. Responsibilities include recording and posting journal entries, assisting with accounts payable and receivable, reconciling bank statements, and maintaining accurate ledgers. The role also involves preparing basic financial reports, supporting month-end and year-end closing activities, and ensuring compliance with internal policies and relevant accounting standards. The Accountant will collaborate with other departments to collect financial data, respond to routine inquiries, and help improve financial processes that support the growth of the fashion house. <br> <br>Qualifications <br> <br>• Strong foundation in basic accounting principles, journal entries, and general ledger maintenance. <br>• Ability to work with accounts payable and accounts receivable, including invoice processing and payment tracking. <br>• Experience or training in bank reconciliations, expense tracking, and assisting with financial reporting. <br>• Proficiency with accounting software and MS Office (especially Excel) and comfort learning new digital tools. <br>• Excellent attention to detail, numerical accuracy, and strong organizational skills. <br>• Effective written and verbal communication skills, with the ability to collaborate across teams. <br>• Bachelor’s degree in Accounting, Finance, or a related field preferred; relevant internships or entry-level experience are an advantage. <br>• Integrity, discretion in handling confidential information, and a proactive, learning-oriented mindset. <br>• Interest in the fashion or luxury industry and willingness to work on-site in Beirut Governorate, Lebanon

<p><h4>Aspire Software company overview</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>This role sits at the center of that buildout. You’ll ship near-term product features while helping us make the right architectural decisions for what’s coming. We need someone who can execute and see around corners, someone who understands both the product experience and the platform mechanics underneath it.</p> <h4>Key responsibilities</h4> <ul> <li>Build and ship AI features using our PHP/MySQL/React/Node stack with OpenAI API integration.</li> <li>Extend Astro Core chatbot capabilities with new read/write actions, graph generation, and analysis outputs.</li> <li>Help improve the external MCP connector schema, authentication, and capability surface.</li> <li>Own prompt engineering for product features: design, test, iterate, and document prompts as first-class product artifacts.</li> <li>Build the token metering and usage tracking layer per feature, per customer, per tier.</li> <li>Design and implement guardrails, access controls, and rate limiting across the Astro AI platform layer.</li> <li>Contribute to agent architecture decisions: tool access, memory design, token pool isolation, training data boundaries.</li> <li>Monitor AI feature performance in production latency, cost, output quality, failure modes and drive improvements.</li> <li>Stay current on the AI tooling landscape and bring concrete recommendations to the team.</li> </ul> <h4>Requirements</h4> <strong>AI product development</strong> <ul> <li>Hands-on experience integrating LLM APIs (OpenAI, Anthropic, or similar) into production applications used by real customers.</li> <li>Prompt engineering fluency: system prompts, few-shot examples, structured outputs, tool/function calling, chain-of-thought patterns.</li> <li>Understanding of token economics: cost per call, context management, model selection tradeoffs across feature types.</li> <li>Experience building quality evaluation and output validation frameworks around AI features.</li> <li>Awareness of AI-specific risks: hallucination, prompt injection, data leakage, output inconsistency.</li> </ul> <strong>Platform & architecture thinking</strong> <ul> <li>Experience designing or contributing to metered usage systems — API rate limiting, consumption tracking, billing integration.</li> <li>Familiarity with designing MCP (Model Context Protocol) — understanding of how LLM-native integrations differ from traditional REST.</li> <li>Ability to reason about multi-tenant access controls: how AI features should behave differently across customer tiers.</li> <li>Understanding of agent architecture patterns: tool registries, memory types, token pool management, task delegation.</li> </ul> <strong>Core stack</strong> <ul> <li>React and Node: able to build frontend components that surface AI features, including data visualizations.</li> <li>Solid PHP development experience — comfortable extending a production codebase, not just greenfield.</li> <li>MySQL: schema design, query optimization, and data modeling for AI feature state and usage tracking.</li> <li>Typescript: used on the backend of the MCP layer.</li> </ul> <p>Bachelor’s degree in Computer Science, Information Systems, Engineering or a related field.</p> <p>3+ years of experience in consulting, digital transformation, enterprise software implementation, or AI-related projects.</p> <p>Strong understanding of artificial intelligence, machine learning, generative AI, and automation concepts.</p> <p>Strong presentation, communication, and stakeholder management skills.</p> <p>Experience working directly with customers and senior business stakeholders.</p> <p>Excellent problem-solving and analytical skills.</p></p><p></p>

<p>Proximie is on a mission to improve healthcare by transforming the world s operating rooms into connected ecosystems of people, devices, and data. Our Intelligence Suite transforms operating room (OR) performance, keeping teams in sync and workflows on track to maximise throughput. Simultaneously our computer vision and AI capabilities capture real-time data and detect surgical events improving quality of data outputs. The result: ORs are optimised like never before with predictive analytics and automated notifications ensuring patients and staff are in the right place at the right time. Once practitioners are in the OR, our Surgical Suite enables real-time remote access and creates a secure video record of every procedure; improving training, education, and collaboration. It is an intuitive asset which helps instil a culture of continuous learning, accelerates the adoption of cutting-edge medical devices, and enhances surgical performance across the entire global workforce improving outcomes and saving lives. Proximie was commercialised in 2019 and is available in over 500 facilities globally. Check out our Founder and CEO Nadine s Origins Story here: https://www.proximie.com/about-us/</p><p>Position Overview As Proximie continues to turn every activity and event in the operating room into comprehensive, structured, and context-rich data that drives better insights and decisions making, using your deep technical expertise and real-world experience you will be instrumental in developing and deploying machine learning solutions that improve clinical outcomes, drive productivity and support Proximie s continuing evolution into the unrivalled champion of the intelligent operating room. You will work with multi-modal data (audio, vision, and language) to curate, consolidate, and augment retrospective and prospective datasets that fuel the development of advanced machine learning solutions. You ll harness the power of Proximie s deep data lakes and apply cutting-edge generative techniques to solve real-world challenges for Proximie s customers. You ll also lead the development of intelligent systems that can automatically detect and capture key events in the operating room, designing robust solutions that work across diverse and unpredictable data distributions, tackling challenges like identifying rare events buried in hours of surgical video. This role demands creativity, precision, and a deep understanding of real-world machine learning at scale. If you re excited by complex problems with life-changing impact and want to build tech that operates in the most critical environments, we d love to hear from you.</p><p>Responsibilities</p><ul><li>Collaborate with product, engineering and commercial teams to develop and deploy AI models for real world application in hospitals all over the world.</li><li>Design, train and validate machine learning mono and multi-modal models using state of the art approaches.</li><li>Develop models and derived tools robust to the heterogeneity of operating room environments. With customers all over the world operating rooms are often different which creates unique opportunities for problem solving and model design.</li><li>Own the full model lifecycle including but not limited to data curation, model implementation, training, validation, deployment, and maintenance.</li><li>Development within Proximie environment to enable dynamic model training and performance evaluation while integrating with Proximie s data lakes.</li><li>Document solutions and contribute to internal knowledge sharing and capability building.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>PhD in a machine learning field such as computer science, data science, engineering, or a related field. Masters considered but PhD preferred.</li><li>Minimum of 4 years hands-on experience in industry, developing and deploying AI solutions which solve real-world problems.</li><li>Expertise in developing, training and fine-tuning machine learning and multi-modal models.</li><li>Experience in training models with data originating from heterogeneous distributions is highly desirable.</li><li>Deep knowledge of a variety of traditional machine learning, deep learning and generative AI methods for both supervised, self-supervised and unsupervised learning with an emphasis on vision.</li><li>Proficiency with deep learning frameworks such as TensorFlow/PyTorch.</li><li>Proficiency with Python and strong software development background.</li><li>Knowledge and experience with AWS is highly desirable.</li><li>Experience with MLOps practices, including versioning, deployment, and monitoring of models highly desirable.</li><li>Ability to communicate complex technical concepts clearly to non-technical stakeholders.</li></ul><p>Why Work for Proximie?</p><ul><li>You will be encouraged to grow in your role, take ownership and gain responsibilities.</li><li>Proximie s values are Ownership, Deliver Results, Build Trust and Go Beyond.</li><li>Generous annual leave.</li><li>Two well-being days per year plus the day off for your birthday.</li><li>Summer Fridays early office closing on Fridays during summer months.</li><li>Annual bonus programme based on individual contribution.</li><li>To support your professional growth, all permanent employees will have access to an annual stipend of $1,000 to assist with personal development activities.</li><li>Flexible working hours - we trust our people to manage their time and to focus on wider results.</li><li>A flat organizational structure where every opinion matters, ideas are cultivated, and innovation is encouraged.</li><li>Proximie is a truly global company with teams across the UK, Europe, United States and the Middle East with that you will have opportunities to see the world.</li><li>Proximie is an equal opportunity employer. We are committed to providing a work environment that supports, inspires, and respects all individuals. We do not discriminate on the basis of race, colour, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under the law.</li></ul>