Python Developer Jobs in Lebanon

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Automation &amp; Digitalization / AI &amp; Solution Development:</p><p><br></p><p>Computer Science / Strong analytical and problem-solving skills with a foundation in software development (Python/JavaScript) and a keen interest in AI, automation, and digital systems.</p><p><br></p><p>Candidates should be self-motivated, fast learners with the ability to adapt quickly, work collaboratively, and translate ideas into practical, scalable solutions.</p><p><br></p><p>Work schedule is part time preferably on-premises, Monday to Friday from 10am to 3pm, with flexible hybrid option available. Candidate monthly fee will range from 150$ to 300$ per month based on candidate skills and previous expertise (if any).</p><p><br></p><p>We require candidates to be living in or very near to Beirut. We do not accept candidates who live far from Beirut.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Computer Science / Strong analytical and problem-solving skills with a foundation in software development (Python/JavaScript) and a keen interest in AI, automation, and digital systems.</p><p>Candidates should be self-motivated, fast learners with the ability to adapt quickly, work collaboratively, and translate ideas into practical, scalable solutions.</p><p>Work schedule is part time preferably on-premises, Monday to Friday from 10am to 3pm, with flexible hybrid option available.</p><p>We require candidates to be living in or very near to Beirut. We do not accept candidates who live far from Beirut.</p><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Artefact is a new generation of data service providers specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.</p><br><p>The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner…</p><br><p><strong>What you will be doing?<br></strong>As a Data Engineer, your role involves crafting and maintaining robust data pipelines, utilising Python and SQL, to ensure efficient extraction, transformation, and loading (ETL) of data.<br></p><br><p><strong>Your responsibilities will include:</strong></p><br><ul><li>Data Pipeline Development: Building and optimising data pipelines to facilitate seamless data flow across systems and platforms.</li><li>Database Management: Managing databases, ensuring their integrity, and implementing data storage and retrieval solutions.</li><li>Cloud Services Integration: Leveraging cloud services such as MS Azure, GCP, and AWS to architect and deploy scalable data solutions.</li><li>Machine Learning Integration: Collaborating with teams to integrate machine learning models into data pipelines for enhanced data processing.</li><li>Utilising Spark &amp;amp; Kafka: Implementing and working with Spark and Kafka for real-time data processing and analytics.</li></ul><p><strong>What we are looking for?</strong></p><br><ul><li>Proficiency in Python, SQL, and database management.</li><li>Experience with Data Pipelines ETL, Cloud Services (<strong>MS Azure, GCP preferred)</strong>, ML Modeling, Spark &amp;amp; Kafka.</li><li>Proven problem-solving skills and a solution-oriented mindset.</li><li>Excellent communication skills to collaborate effectively within teams and with stakeholders.</li><li>Strong business acumen with an interest in business-facing roles.</li><li>Adaptability and a start-up mentality to thrive in a dynamic environment.</li><li>Candidates with similar skill sets and experiences have excelled in technology firms or consultancy firms.</li><li>Successful candidates often possess Computer Science, Electronics, and Communication Engineering degrees.</li></ul> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span><b><span>Our Opportunity</span></b> <br><br>We are seeking a talented AI Engineer to join our team. You will be responsible for applying the latest techniques to build and deploy enterprise machine learning models across multiple domains. As a highly capable Research and Development Engineer, you will be passionate about data science and machine learning and driven to make an impact.<br><br><b><span>To Be Successful in The Role You Will Need</span></b><br><br>To possess many but not necessarily all the below:<br><br></span><ul><li><span>A master’s degree in a STEM subject or equivalent practical experience.<br></span></li><li><span>3+ years of industrial experience in the areas of machine learning, computer vision, natural language processing, or data mining.<br></span></li><li><span>Fluency in Python development, backed by practical experience using machine learning libraries like pandas, PySpark, NumPy, SciPy, scikit-learn, Keras, PyTorch, TensorFlow, or equivalent.<br></span></li><li><span>Hands-on experience with advanced NLP techniques such as BERT, transformers, and others.<br></span></li><li><span>Proficiency in using modern search libraries (preferably Elasticsearch).<br></span></li><li><span>Technical experience in deploying cloud-native solutions (AWS, Azure, GCP).<br></span></li><li><span>Practical experience in MLOps with a proven record of maintaining and supporting your models in production environments.<br></span></li><li><span>A demonstrated ability to exercise technical judgment in solving complex challenges.<br></span></li><li><span>Ability to function as an influential member of a highly integrated team composed of both technical and non-technical members.<br></span></li></ul>Siren is an equal opportunity employer. At Siren we value ethics, dedication, sustainability, safeguarding, respect, and inclusion. <br><br>Are you interested to work with our dedicated team on impactful projects? We welcome applications from all qualified candidates, regardless of background. Do apply!<br><br><br><br> </div>

Automation & Digitalization / AI & Solution Development: <br> <br>Computer Science / Strong analytical and problem-solving skills with a foundation in software development (Python/JavaScript) and a keen interest in AI, automation, and digital systems. <br> <br>Candidates should be self-motivated, fast learners with the ability to adapt quickly, work collaboratively, and translate ideas into practical, scalable solutions. <br> <br>Work schedule is part time preferably on-premises, Monday to Friday from 10am to 3pm, with flexible hybrid option available. Candidate monthly fee will range from 150$ to 300$ per month based on candidate skills and previous expertise (if any). <br> <br>We require candidates to be living in or very near to Beirut. We do not accept candidates who live far from Beirut. <br> <br>Interested candidates, please send your CV & intro letter via email. <br> <br>Best wishes, <br>Mohamad-Rabih Chatila <br>CEO

requirements: <br> <br>At least 4+ years of practical experience developing and implementing data approaches such as advanced analytics and Machine Learning. <br>Proficient in Python and SQL (PySpark and programming languages such as Java are a plus) <br>Knowledgeable in Data Science and Machine Learning concepts and algorithms such as clustering, regression, classification, forecasting, neural networks, hyperparameters optimization and others. <br>Experience in developing models for production and business application use. <br>Knowledgeable in /or experience with Fintech/banking industry is a big plus. <br>Basic knowledge in data engineering and ML model lifecycle. <br>Strong business acumen in the financial sector (i.e., payments, acquiring, financial crime…) <br>Highly motivated and like to work in a team and with advanced technologies in challenging environments. <br>Excellent Communication Skills /English. <br>Good Analytical Skills. <br>Ability to communicate technical tasks to non-technical people. <br>Ability to work in an agile environment and be a quick learner. <br>Willing to relocate. <br>Bachelor’s degree in computer science, Computer Engineering, Information Technology or Mathematics

<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>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves We're building competitive-programming problems and their automatic graders (test cases + checkers) used to train advanced AI coding models.<br> You'll create problems, write both correct and deliberately-wrong solutions, and design the tough test cases that catch subtly-broken code.<br> Your work is what makes the training signal trustworthy.<br> To apply, share: your competitive-programming handle(s) + current/peak rating, any problem-setting experience, and IOI/ICPC/olympiad history.<br> What you'll do Write original algorithmic problems — clear statement, sound constraints, an intended solution; Write correct solutions in C++ and Python; Write realistic wrong solutions (common mistakes) to test against; Build and harden test cases: generators, edge cases, stress and "hacking" tests; Write checkers/interactors (testlib) for problems with more than one valid answer; Confirm the quality bar: correct solutions pass, wrong ones fail, within time limits.<br> What we look for Strong competitive programming background, shown by a public profile — a Codeforces rating (see levels below), OR an IOI / ICPC / national-olympiad record; Fluent contest C++ (STL, complexity); comfortable writing Python; Can explain why a solution is wrong and build an input that breaks it; Strong written English (C1+).<br> Levels (by Codeforces rating, or equivalent olympiad achievement): Associate — 1700–2100 (Expert / Candidate Master): easier problems; Expert — 2200–2600 (Master / Grandmaster): harder problems Senior / Reviewer — 2600+ (Int'l Grandmaster) or IOI/ICPC medalist: hardest problems + quality review.<br> Nice to have IOI / ICPC alumni and top competitive programmers especially encouraged to apply; Experience setting or testing problems for real contests (Codeforces rounds, ICPC, national olympiads, online judges); Testlib experience (checkers, validators, generators); Experience creating data for LLM code benchmarks or similar RL / evaluation datasets.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation Paid per accepted task.<br> Your rate depends on the qualification tier you reach and how efficiently you complete tasks — up to the equivalent of $90/hr .<br> Because payment is per task, a faster pace raises your effective hourly rate.<br></span> </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>

Role Overview <br>Build production AI systems for clients. You'll design and ship agentic workflows on Claude and AWS Bedrock AgentCore, retrieval systems backed by Bedrock Knowledge Bases, and MCP-based automations that connect directly into client tool stacks (Notion, Linear, HubSpot, AWS, Google Workspace, and more). This is a hands-on build role. You will write code, deploy infrastructure, and sit in client rooms explaining why the system behaves the way it does. <br>Tasks & Responsibilities <br>Design and build applied AI systems on Claude and AWS Bedrock AgentCore: RAG pipelines backed by Bedrock Knowledge Bases, agentic workflows, and multi-tool orchestration via MCP. <br>Own delivery of AI components end-to-end: architecture, implementation, evaluation, and post-launch monitoring. <br>Integrate Claude-based agents with client infrastructure and business tools via MCP servers (HubSpot, Notion, Linear, Google Workspace). <br>Translate ambiguous client problems into scoped technical builds with clear success criteria and numbers attached. <br>Document architecture and decisions in the client's Notion record so infra details never live only in someone's head. <br>Work alongside Pre-Sales Engineers during scoping calls to validate technical feasibility before commitments are made. <br>Select and tune the right model, retrieval strategy, and Knowledge Base configuration per use case. <br>Build and maintain eval suites (offline test sets, regression checks, LLM-as-judge scoring) that catch quality drift before a client does. <br>Design agentic control flow: tool-selection logic, retry/fallback paths, and guardrails against runaway loops or unsafe tool calls. <br>Instrument production systems with logging, tracing, and cost/latency dashboards to debug a bad output from a client. <br>Write modular infrastructure as code (Terraform) for AI workloads on AWS. <br>Conduct architecture reviews on other engineers' AI builds and flag failure modes before they ship. <br>Competencies <br>Can explain to a client, in plain language, why an agent made the tool call it made <br>Comfortable debugging a production LLM failure under time pressure, not just in a notebook <br>Can wire an MCP server into an agent and debug why a tool call didn't fire <br>Education, Experience & Language <br>Master's degree in Computer Science or equivalent <br>Previous experience building and shipping production ML/AI systems <br>Fluent in English and Arabic <br>Tools & Certifications <br>Strong Python engineering; comfort with AWS <br>Practical experience with LLM application patterns: RAG, agentic tool-use via MCP, prompt engineering, evaluation design <br>Hands-on experience with AWS Bedrock AgentCore and Bedrock Knowledge Bases <br>Nice to have: AWS Certified Machine Learning Engineer – Associate, AWS Certified Generative AI Developer – Professional, AWS Certified Solutions Architect – Associate or Professional, AWS Certified Developer – Associate, AWS Certified Security – Specialty (relevant given our compliance posture) <br>To Apply visit: https://digicosolutions.bamboohr.com/careers/33

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> About the Role You’ll design coding tasks that challenge frontier AI coding agents.<br> Each task is a self-contained Docker environment with a broken piece of software; an AI agent attempts the fix; automated tests verify the outcome.<br> Your deliverable is the full task package: broken code, tests, instructions, and a reference solution proving the task is solvable.<br> Responsibilities : Invent a realistic developer scenario — a real bug, a broken ETL, a missing feature — not a toy problem.<br> Build a reproducible Docker environment with pinned dependencies.<br> Write a pytest that verifies outcomes, not specific commands — deterministic, non-flaky, and does not leak the fix.<br> Write an instruction.<br>md that reads like a Jira ticket a developer would receive.<br> Write a reference solve.<br>sh proving the task is solvable.<br> Calibrate difficulty so current state-of-the-art agents solve the task 20–60% of the time.<br> Iterate based on feedback from expert QA reviewers.<br> Later: review other authors’ tasks as a QA reviewer.<br> Not in scope Data labeling, prompt engineering.<br> Production code to ship — you design problems and verification for AI agents.<br> Leetcode puzzles — scenarios must look like real developer work.<br> Not every candidate task ships — quality over quantity.<br> Requirements 3+ years of production software development in one backend stack — Python, Go, Node.<br>js, Java, or Rust.<br> Depth in one stack beats breadth.<br> Python + pytest fluency — required regardless of primary stack.<br> The task harness is pytest-based even when the broken app is in another language.<br> Fixtures, parametrize, monkeypatch, timeouts, conftest.<br>py. Docker authoring — reproducible Dockerfiles, pinned dependencies, multi-stage builds when needed, non-root user.<br> Linux &amp; Bash — comfort debugging inside containers (strace, lsof, journalctl); shell beyond set -euo pipefail.<br> AI coding agent experience — Claude Code, Cursor, Roo Code, or similar, on non-trivial work.<br> You can cite a specific time the AI was confidently wrong and how you caught it.<br> English — B2+ written.<br> Not a fit Data Science, ML, or Computer Vision engineers without backend-engineering output.<br> Manual QA testers without automation or test authoring.<br> Frontend-only, low-code / no-code, IT Support, or Business Analysts.<br> Engineers who have never written pytest from scratch.<br> Junior, intern, or assistant as the most recent role.<br> Preferred qualifications Domain depth in Security, System Administration (nginx / systemd / cron), Scientific Computing (NumPy / PyTorch / SciPy), DevOps, or Git internals.<br> Modern Python tooling (uv, poetry, pyproject.<br>toml). Coverage tooling (pytest-cov, coverage.<br>py, gcov, llvm-cov, kcov).<br> Fuzzing or property-based testing (Hypothesis).<br> Prior contribution to agent-evaluation benchmarks or related frameworks.<br> Process Apply → Pass qualification (90-minute sample-task screen + short behavioral interview) → Join a project → Complete tasks → Get paid.<br> Time commitment Onboarding: ~10 hours per first task.<br> Steady state: ~5 hours per task, 2–4 parallel tasks per author.<br> Realistic weekly load: 8–20 hours.<br> Higher volume available for top performers.<br> You choose when and how to contribute; tasks must be submitted by the deadline and meet acceptance criteria.<br> Compensation: Paid contributions, rates up to $35/hour *.<br> Task-based compensation equivalent to hourly rate, depending on performance and volume.<br> Some projects include incentive payments.<br> *Rates vary based on expertise, skills assessment, location, project needs, and other factors.<br> Higher rates may be provided to highly specialized experts.<br> Lower rates may apply during onboarding or non-core project phases.<br> Payment details are shared per project.<br> Apply Submit your CV via the Mindrift platform.<br> Indicate your English level, note this role (Software Engineering Evaluation Specialist — Terminal Bench), and include a GitHub profile link if available.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for 5+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Compensation Up to $40/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~20 hours each; you set your own schedule.<br></span> </div>

GlobeMed Group, the largest Healthcare Benefits Management company in the MENA region is looking for a Senior AI / ML Engineer who will be responsible for designing, developing, integrating, and deploying AI capabilities across GlobeMed. The role provides senior technical expertise in AI engineering, application development, while working closely with business and technical teams to deliver reliable, scalable, and secure AI capabilities aligned with organizational needs. <br> <br>Duties & Responsibilities: <br> <br> Design and develop AI capabilities, applications, and AI-enabled workflows using modern AI tools and frameworks. <br> Develop and integrate AI agents, APIs, and MCP-based capabilities where applicable. <br> Develop and maintain front-end and back-end components supporting AI applications. <br> Apply AI-assisted coding tools to improve development efficiency and code quality. <br> Evaluate and adopt emerging AI technologies, frameworks, and development practices. <br> Ensure AI solutions are designed with appropriate scalability, reliability, security, and maintainability. <br> Work with ICT teams to ensure appropriate infrastructure, networking, security, and resource requirements are addressed. <br> Monitor and optimize the technical performance and resource utilization of AI environments. <br> Lead technical testing and validation of AI solutions prior to implementation. <br> Evaluate AI solutions for accuracy, reliability, performance, usability, and scalability. <br> Identify technical and functional issues and coordinate their resolution. <br> Establish appropriate testing approaches for AI models, agents, integrations, and applications. <br> Training, evaluating, and fine-tuning ML models on historical data for predictive analysis. <br> <br>Qualifications <br> <br>Education: <br> <br> Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Information Technology, or a related technical field. <br> Relevant Master's degree or professional AI/cloud certification is an advantage. <br> <br>Experience/Knowledge: <br> <br> 3-6 years of experience in AI Platforms. <br> Strong hands-on experience developing and deploying AI applications and capabilities. <br> Strong knowledge of modern AI tools, frameworks, APIs, LLMs, and AI development practices. <br> Experience with AI agents, MCPs, and AI integrations. <br> Experience using AI coding and AI-assisted software development tools. <br> Experience working with legacy Databases using SQL. <br> Hands on code knowledge using python or other similar languages. <br> Source Control platform integration example GIT. <br> Previous experience working with microservices <br> Prior work experience with message queues and streaming platforms is a plus. <br> Knowledge of Agile methodology with prior experience on ticketing systems like jira is a plus. <br> Experience working on ML models with hands on experience using platforms like pytorch. <br> Hands on model testing, metrics evaluation, and fine tuning for ML predictive models

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Result of Service<br>The consultant will enforce Trade Simulator Interface by assisting in developing a tracking and monitoring system of barriers to trade in services in Saudi Arabia and its key partners.<br> Work Location<br>Remote<br> Expected duration<br>3 months<br> Duties and Responsibilities<br>Under its technical assistance project with the Ministry of Economy and Planning in Saudi Arabia, ESCWA is hiring a consultant to support the development and strengthening of interconnected trade analysis tools by contributing to extending ESCWA’s trade negotiation and simulation tools. The tasks cover data preparation and management, analytical framework development, user-oriented interface improvements, and preparation of user guides and training materials. The objective of this consultancy is to support the development and strengthening of interconnected trade analysis tools. The following activities will be implemented by the consultant: 1. Develop a tracking and monitoring system of barriers to trade in services in Saudi Arabia and its key partners. The tracking and monitoring system will offer a unique platform through listing and displaying barriers through different forms covering legal barriers, STRI and AVEs of key barriers to trade in services with the possibility to classify them by mode of supply. 2. Refine and improve the generation of automatic briefs from running the final updated and extended GETSI developed for Saudi Arabia. 3. Prepares methodological notes, user guides, and training content to support national teams in effectively using the new trade simulation interfaces.<br> Qualifications/special skills<br>A first-level university degree in Economics or Finance is required. Master's in Economics or Finance is desirable. All candidates must submit a copy of the required educational degree. Incomplete applications will not be reviewed At least two years of professional experience in economic research and policy analysis, with a focus on international trade, is required. Experience in drafting technical documentation, methodological notes, and policy-oriented analytical outputs is required. Experience in the application of artificial intelligence tools for economic or trade-related analysis is required. Knowledge of programming languages (Python) is required. Experience working with international trade databases and programmatic data access tools (including APIs) 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. Knowledge of French and 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>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><br></p><p><b>About the Role</b> Are you passionate about building scalable, reliable data platforms that power business decisions and customer experiences? As a Senior II Data Engineer at Toters, you'll design and build modern data infrastructure that enables reliable, real-time and batch data processing across the organization. You'll own the design and delivery of complex data pipelines, influence technical decisions within your domain, and help establish engineering best practices that improve the scalability, reliability, and maintainability of our data platform. Working closely with Software Engineers, Product Managers, Analytics, and Machine Learning teams, you'll help transform high-volume operational data into trusted, high-quality data products that drive business impact.</p><p>In this role, you will:</p><ul><li>Collaborate with cross-functional teams to understand business requirements and translate them into scalable data solutions.</li><li>Design, build, and maintain reliable batch and streaming data pipelines that support analytics, operational systems, and machine learning workloads.</li><li>Develop scalable data ingestion frameworks capable of processing high-volume event and transactional data.</li><li>Design and optimize data models that enable efficient analytics while supporting long-term maintainability.</li><li>Build resilient streaming solutions while balancing throughput, latency, reliability, and operational cost.</li><li>Develop and maintain modern data lakehouse architectures using cloud-native technologies and distributed data platforms.</li><li>Design schemas and data contracts that promote consistency, governance, and interoperability across systems.</li><li>Improve platform observability by implementing monitoring, alerting, data quality validation, and operational dashboards.</li><li>Troubleshoot production issues, participate in incident response, perform root cause analysis, and implement long-term improvements.</li><li>Optimize storage, compute, and data movement costs while maintaining platform performance and reliability.</li><li>Participate in architecture discussions and contribute to technical decisions that improve scalability and system resilience.</li><li>Create reusable frameworks, tooling, and engineering patterns that improve developer productivity and platform consistency.</li><li>Conduct thoughtful code reviews and share constructive feedback to maintain high engineering standards.</li><li>Mentor junior engineers through technical guidance, design discussions, and knowledge sharing.</li><li>Collaborate with Software Engineering, Product, Analytics, and Machine Learning teams to deliver scalable, high-quality data solutions.</li></ul><p>Key Qualifications</p><p>Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.</p><p>6+ years of experience designing and building production-grade data platforms or distributed data systems.</p><p>Strong SQL skills and deep understanding of data modeling, including dimensional modeling (facts and dimensions).</p><p>Hands-on experience building production data pipelines using distributed streaming platforms such as Apache Kafka, Amazon Kinesis, or Apache Pulsar, with experience in partitioning, consumer groups, schema management, delivery semantics, and troubleshooting production streaming systems.</p><p>Strong understanding of batch and streaming data processing concepts, including event time, processing time, windowing, stateful processing, and the trade-offs of exactly-once processing.</p><p>Proficiency in Python and/or JVM languages such as Java or Scala for building scalable data processing applications.</p><p>Experience designing and operating modern data lake or lakehouse architectures using Amazon S3 or equivalent object storage, Parquet, and open table formats such as Apache Iceberg, Delta Lake, or Apache Hudi.</p><p>Experience building cloud-native data infrastructure on AWS, Google Cloud Platform (GCP), or Microsoft Azure, including object storage, streaming and messaging services, IAM, networking, and cost optimization.</p><p>Experience working with distributed processing frameworks such as Apache Flink or similar streaming technologies.</p><p>Familiarity with analytical query engines such as ClickHouse or Trino.</p><p>Experience implementing Change Data Capture (CDC) solutions using Debezium or similar technologies.</p><p>Experience with modern data transformation frameworks such as dbt is a plus.</p><p>Familiarity with Infrastructure as Code using Terraform, containerization with Docker, and orchestration platforms such as Kubernetes is a plus.</p><p>Experience owning production systems, participating in on-call rotations, and resolving production data incidents.</p><p>Strong communication skills with the ability to document technical decisions, collaborate across teams, and mentor engineers.</p><p>Passion for building reliable, scalable, and maintainable data platforms.</p><p>Nice to Have</p><p>Experience building large-scale streaming architectures using Apache Flink.</p><p>Hands-on experience with Apache Iceberg, ClickHouse, or Trino in production environments.</p><p>Experience implementing CDC pipelines using Debezium or similar technologies.</p><p>Experience using dbt for transformation and analytics engineering workflows.</p><p>Experience with AWS data services such as MSK, S3, Glue, or Kinesis.</p><p>Experience deploying infrastructure using Terraform and Kubernetes.</p><p>Exposure to Machine Learning feature stores or Customer Data Platforms (CDPs).</p><p>Experience working in high-growth technology companies or on-demand marketplace platforms.</p><p>Why Toters?</p><p>Flexible work environment with hybrid-friendly roles.</p><p>Opportunity to work on a modern, cloud-native data platform that powers products used by thousands of customers every day.</p><p>Collaborate with talented engineers while growing your technical expertise and career.</p><p>Strong culture of mentorship, collaboration, and continuous learning.</p><p>Opportunity to solve complex engineering challenges involving streaming, distributed systems, and large-scale data processing.</p><p>Direct impact on business-critical products and engineering decisions.</p><p>Competitive compensation package.</p><p>Exclusive discounts on Toters orders.</p><p>First-class medical insurance.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.</li><li>6+ years of experience designing and building production-grade data platforms or distributed data systems.</li><li>Strong SQL skills and deep understanding of data modeling, including dimensional modeling (facts and dimensions).</li><li>Hands-on experience building production data pipelines using distributed streaming platforms such as Apache Kafka, Amazon Kinesis, or Apache Pulsar, with experience in partitioning, consumer groups, schema management, delivery semantics, and troubleshooting production streaming systems.</li><li>Strong understanding of batch and streaming data processing concepts, including event time, processing time, windowing, stateful processing, and the trade-offs of exactly-once processing.</li><li>Proficiency in Python and/or JVM languages such as Java or Scala for building scalable data processing applications.</li><li>Experience designing and operating modern data lake or lakehouse architectures using Amazon S3 or equivalent object storage, Parquet, and open table formats such as Apache Iceberg, Delta Lake, or Apache Hudi.</li><li>Experience building cloud-native data infrastructure on AWS, Google Cloud Platform (GCP), or Microsoft Azure, including object storage, streaming and messaging services, IAM, networking, and cost optimization.</li><li>Experience working with distributed processing frameworks such as Apache Flink or similar streaming technologies.</li><li>Familiarity with analytical query engines such as ClickHouse or Trino.</li><li>Experience implementing Change Data Capture (CDC) solutions using Debezium or similar technologies.</li><li>Experience with modern data transformation frameworks such as dbt is a plus.</li><li>Familiarity with Infrastructure as Code using Terraform, containerization with Docker, and orchestration platforms such as Kubernetes is a plus.</li><li>Experience owning production systems, participating in on-call rotations, and resolving production data incidents.</li><li>Strong communication skills with the ability to document technical decisions, collaborate across teams, and mentor engineers.</li><li>Passion for building reliable, scalable, and maintainable data platforms.</li><li>Experience building large-scale streaming architectures using Apache Flink.</li><li>Hands-on experience with Apache Iceberg, ClickHouse, or Trino in production environments.</li><li>Experience implementing CDC pipelines using Debezium or similar technologies.</li><li>Experience using dbt for transformation and analytics engineering workflows.</li><li>Experience with AWS data services such as MSK, S3, Glue, or Kinesis.</li><li>Experience deploying infrastructure using Terraform and Kubernetes.</li><li>Exposure to Machine Learning feature stores or Customer Data Platforms (CDPs).</li><li>Experience working in high-growth technology companies or on-demand marketplace platforms.</li></ul><p></p></section>

Company Description - Software Solutions is a leading provider of software and IT solutions with over 35 years of experience, serving clients in Lebanon, Saudi Arabia, Qatar, and across the MENA region. Supported by a team of more than 200 professionals, the company delivers high-quality, integrated solutions that streamline business processes and enable digital transformation. The company offers a wide range of products, including ERP systems with HR and payroll modules, specialized payroll and school systems, POS, e-commerce platforms, mobile sales automation, and warehouse management solutions. The company maintains strong partnerships with global technology leaders such as SAP, Microsoft, LS Retail, Odoo, and others, ensuring access to advanced tools and best practices. With a robust project management approach, the company focuses on seamless implementation and tailored solutions that help organizations grow and operate more efficiently. <br> <br>Role Description The Senior Odoo Support Specialist is a full-time, on-site role based in Ras Beirut. This role is responsible for providing high-level technical and functional support to clients experiencing issues with their Odoo ERP systems across all modules. Day-to-day tasks include receiving escalated customer calls, analyzing and diagnosing complex system problems across accounting, sales, inventory, HR, payroll, manufacturing, CRM, project management, e-commerce, and other Odoo modules, guiding users through troubleshooting steps, and ensuring timely resolution of Odoo-related inquiries. The specialist collaborates closely with clients and internal technical teams to resolve software bugs, configure system workarounds, optimize Odoo modules, and support system updates or enhancements. The role also involves documenting support cases, conducting root-cause analysis, providing training on module-specific features, and contributing to the continuous improvement of the company's Odoo support services and knowledge base. <br> <br>Qualifications <br> <br> <br> <br> Candidates should possess strong skills in Odoo ERP Administration and Support across multiple modules, including configuration, troubleshooting, and system maintenance. <br> Candidates should possess comprehensive knowledge of core Odoo modules including Accounting, Sales, Inventory, HR, Payroll, Manufacturing, CRM, Project Management, E-Commerce, and Warehouse Management. <br> Candidates should possess solid Customer Service and Technical Support knowledge, with experience in handling escalated calls and managing client expectations in a multi-module environment. <br> Candidates should possess robust Analytical Skills, including the ability to interpret error logs, diagnose software issues across different modules, and propose effective technical solutions. <br> Candidates should possess understanding of complex Business Processes and workflows across various departments and their integration within the Odoo ecosystem. <br> Bachelor's degree in Computer Science, Information Systems, Business Administration, or a related technical field. <br> Experience implementing or providing advanced support for Odoo ERP across multiple modules or similar comprehensive business software solutions. <br> Familiarity with ITIL practices and ticketing systems for managing customer support requests. <br> Strong communication and client-facing skills, with the ability to explain complex technical concepts to non-technical users over the phone and conduct training sessions. <br> Proficiency in Python and PostgreSQL is an advantage for understanding Odoo's backend structure and customizing solutions. <br> Ability to work collaboratively in cross-functional teams and manage multiple urgent client issues effectively

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Result of Service<br>The IC is expected to provide the required research support on areas 1-6 to be delivered on a timely manner. The IC should also help in finalizing all comments provided and should provide all codes and data sets and programs related to the projects by the end of the contract in an organized manner.<br> Work Location<br>UN-House- ESCWA / Hybrid<br> Expected duration<br>5 months<br> Duties and Responsibilities<br>Background The world is currently experiencing the Fourth Industrial Revolution. With this transition, the velocity of change and the sheer number of innovations are unprecedented. This revolution will inevitably eliminate many current lines of work yet has the capacity to bring in new lines of employment. The agility of this revolution makes the jobs of the future difficult to predict using traditional techniques. Given this background, this project will tackle three main issues: • The lack of timely information to monitor the dynamism of the labor market needs. • The mismatch between human capital accumulation and labor market demand. • Labor market policies and regulations are mostly outdated and unprepared for the impact of automation on jobs in most ESCWA countries. Under the supervision of the Team Leader of Future of Work Project and the overall guidance of the cluster lead, the Individual Contractor will assist the Future of work project in scraping activities. Tasks - duties and responsibilities The Individual contractor will mainly contribute to the following areas: 1. Identifying job and employment-related websites for potential data scraping, under guidance. 2. Basic knowledge of ethical guidelines and legal boundaries in web scraping, focusing on adhering to terms of service and privacy laws of targeted websites. 3. Developing foundational skills in creating simple algorithms for extracting data like job listings and company information, and skills from websites. 4. Working using web scraping tools and technologies, such as Python libraries (BeautifulSoup, Scrapy), with an emphasis on learning and application under supervision. 5. Monitoring and updating scraped data, with an emphasis on understanding their importance and basic functionality. 6. Identify and solve basic issues during the web scraping process, with support from more experienced team members.<br> Qualifications/special skills<br>A bachelor’s degree in computer science, data science, or other related computer fields is required. All candidates must submit a copy of the required educational degree. Incomplete applications will not be reviewed. A minimum of 1 year of experience in scrapping is required.<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 and Arabic is required. Knowledge of French 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>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>

Full-Stack Developer (React Native + Django) <br>Role Overview <br>We are seeking an architectural Full-Stack Developer to build both the mobile application frontend and the cloud processing backend for our football gamification platform. You will be responsible for tying our React Native mobile interface together with a scalable Django (Python) API backend that evaluates drill metrics, tracks user progression, processes video syncs, and drives our global leaderboards. <br>Core Responsibilities <br>Cross-Platform Engineering: Develop the mobile app experience in React Native and the foundational server architecture in Django. <br>Scoring & Applied Math Logic: Write deterministic geometry calculations (e.g., using Python/Django libraries or localized TS/JS math) to evaluate spatial coordinates, joint angles, and object tracking paths from recorded clips into actionable gamified score indexes. <br>Video Pipeline Management: Design cloud storage architectures (e.g., AWS S3) to receive user videos from the mobile device for backend processing or archive retrieval. <br>Gamification Ecosystem: Design and manage the relational database schema tracking users, daily streaks, historical score trends, level unlocks, and real-time leaderboards. <br>Technical Requirements <br>Frontend: Strong experience with React Native, TypeScript, and managing local device storage/file assets. <br>Backend: Deep proficiency in Python and Django / Django REST Framework (DRF). <br>Databases: Strong knowledge of SQL databases (PostgreSQL preferred) optimized for transactional calculations like global or regional leaderboard lookups. <br>Applied Math/Data Comfort: Strong grasp of vector math, coordinate geometry, or basic data structures (handling lists of X/Y coordinates). <br>Bonus Points: Familiarity with Python video or image manipulation tools (OpenCV, NumPy) or deploying scalable APIs on AWS/Heroku

Full-Stack Developer (React Native + Django) <br>Role Overview <br>We are seeking an architectural Full-Stack Developer to build both the mobile application frontend and the cloud processing backend for our football gamification platform. You will be responsible for tying our React Native mobile interface together with a scalable Django (Python) API backend that evaluates drill metrics, tracks user progression, processes video syncs, and drives our global leaderboards. <br>Core Responsibilities <br>Cross-Platform Engineering: Develop the mobile app experience in React Native and the foundational server architecture in Django. <br>Scoring & Applied Math Logic: Write deterministic geometry calculations (e.g., using Python/Django libraries or localized TS/JS math) to evaluate spatial coordinates, joint angles, and object tracking paths from recorded clips into actionable gamified score indexes. <br>Video Pipeline Management: Design cloud storage architectures (e.g., AWS S3) to receive user videos from the mobile device for backend processing or archive retrieval. <br>Gamification Ecosystem: Design and manage the relational database schema tracking users, daily streaks, historical score trends, level unlocks, and real-time leaderboards. <br>Technical Requirements <br>Frontend: Strong experience with React Native, TypeScript, and managing local device storage/file assets. <br>Backend: Deep proficiency in Python and Django / Django REST Framework (DRF). <br>Databases: Strong knowledge of SQL databases (PostgreSQL preferred) optimized for transactional calculations like global or regional leaderboard lookups. <br>Applied Math/Data Comfort: Strong grasp of vector math, coordinate geometry, or basic data structures (handling lists of X/Y coordinates). <br>Bonus Points: Familiarity with Python video or image manipulation tools (OpenCV, NumPy) or deploying scalable APIs on AWS/Heroku

<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>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Join our team to design, build, and maintain reliable software systems that enable scalable product delivery and continuous improvement. You ll work closely with cross-functional partners to ship features on schedule, enhance performance and reliability, and strengthen code quality while supporting deployments and service monitoring.</p><p>Create and maintain robust, production-ready software solutions by applying strong programming skills, API and database expertise, and disciplined engineering practices (testing, version control, and CI/CD) to reduce defects, improve reliability, and deliver measurable performance and maintainability gains.</p><p>Job Duties and Responsibilities</p><ul><li>Programming (Java/Python/JavaScript/C#)</li><li>API Development (REST/GraphQL)</li><li>Database Design (SQL/NoSQL)</li><li>Version Control (Git)</li><li>Testing (unit/integration)</li><li>Cloud &amp; CI/CD Concepts</li><li>Problem-solving</li><li>Collaboration and teamwork</li><li>Clear communication</li><li>Ownership and accountability</li><li>Performance &amp; Reliability Optimization</li><li>Production Incident Management</li><li>Deployment Support &amp; Service Monitoring</li><li>Code Quality &amp; Maintainability</li><li>Defect Fixing</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Programming (Java/Python/JavaScript/C#)</li><li>APIs (REST/GraphQL)</li><li>Databases (SQL/NoSQL)</li><li>Version control (Git)</li><li>Testing (unit/integration)</li><li>Cloud/CI/CD concepts</li><li>Problem-solving</li><li>Collaboration and teamwork</li><li>Clear communication</li><li>Ownership and accountability</li></ul><p></p></section>