وظائف مطورين بايثون - دبي الإمارات

<p><strong>Experience:</strong> 5–10 years</p><p><strong>Key Responsibilities:</strong></p><ul><li><p>Establish AI/ML governance frameworks.</p></li><li><p>Maintain AI/model inventories.</p></li><li><p>Support model validation and monitoring.</p></li><li><p>Assess model risks, bias and explainability.</p></li><li><p>Define AI controls and documentation.</p></li><li><p>Work with technology, risk, compliance and audit teams.</p></li></ul><br><p><strong>Desired Candidate Profile</strong></p><p>Mandatory Skills: AI/ML, Model Risk, Python, SQL, Governance Good to Have: Financial services, regulatory technology, responsible AI.</p>

<p><strong>Job Summary:</strong><br>Develop technology solutions supporting AML, KYC, transaction monitoring and regulatory compliance.</p><p><strong>Key Responsibilities:</strong></p><ul><li><p>Develop AML/KYC applications.</p></li><li><p>Integrate customer and transaction data.</p></li><li><p>Build transaction monitoring workflows.</p></li><li><p>Implement rules and alert-generation systems.</p></li><li><p>Integrate external compliance and screening platforms.</p></li><li><p>Support automation of regulatory reporting.</p></li></ul><br><p><strong>Desired Candidate Profile</strong></p><p>Mandatory Skills: Java/Python, SQL, APIs, AML/KYC concepts Good to Have: SAS, Actimize, Oracle, financial crime technology.</p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><br><p>Roles &amp; Responsibilities (generic):</p><br><ul><li><p>Design, build, and maintain AI pipelines and automations end-to-end (data → model → serving → monitoring).</p></li><li><p>Integrate and orchestrate LLMs and generative models via APIs — Anthropic, OpenAI, DeepSeek, and others — plus open-source models.</p></li><li><p>Fine-tune / adapt models (LoRA and full fine-tuning) — dataset prep, training, evaluation, and serving.</p></li><li><p>Deploy and operate services in production — servers/GPUs, containers, CI/CD, monitoring, and safe rollbacks.</p></li><li><p>Build backend logic (Python), basic frontend, and work with databases.</p></li><li><p>Leverage AI coding agents (Claude Code, OpenAI Codex, Cursor, Cline, and similar) to ship fast.</p></li><li><p>Continuously research and adopt the newest AI tools, models, and techniques.</p></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"><br></p><p>Requirements (must-have):</p><br><ul><li><p>Fine-tuning experience — hands-on LoRA / fine-tuning of LLMs or vision/diffusion models (data → train → evaluate → serve). Mandatory.</p></li><li><p>Deployment / MLOps experience — shipping to production on Linux/GPU servers (Docker, systemd/CI, git), with monitoring and rollback discipline. Mandatory.</p></li><li><p>Strong programming (Python primary) + backend fundamentals; basic frontend (HTML/JS, React or similar).</p></li><li><p>Multi-provider LLM API integration — Anthropic, OpenAI, DeepSeek, etc. (API keys, structured JSON outputs, token/cost management, retries/error handling).</p></li><li><p>Open-source model knowledge — running/serving models locally (e.g., LLaMA, Mistral, Qwen, Stable Diffusion/FLUX), quantization/inference basics.</p></li><li><p>Databases / SQL (Postgres or similar).</p></li><li><p>Proficiency with AI coding agents — Claude Code, Codex, Cursor, Cline, and other AI dev tools — used effectively for real engineering work.</p></li><li><p>Strong research mentality — stays current with the daily, fast-moving AI landscape and can independently evaluate and adopt new tools/models.</p></li><li><p>Great problem-solving, attention to detail, and production discipline.</p></li></ul><br><p>Nice-to-have (bonus):</p><br><ul><li><p>ComfyUI / diffusion workflows, RAG &amp; vector databases, agent/tool-use frameworks, prompt-engineering depth, media/ffmpeg pipelines, cloud/GPU infrastructure, distributed-systems patterns (queues, idempotency,</p></li></ul><p>checkpointing).</p><br><p>Working style (it matters for live production):</p><br><ul><li><p>Ownership &amp; autonomy — takes a task, researches, plans, executes, and documents it end-to-e</p></li><li><p>Production rigor — verifies before calling anything "done," always backs up + has a rollbace.</p></li><li><p>Clear communicator — explains technical decisions in plain English to non-engineers.</p></li><li><p>Fast but careful — moves quickly without cutting corners on safety.</p></li></ul><br><p><strong>Location: </strong>Business Bay, Dubai, UAE.</p><p><strong>Job Type: </strong>Full-time, On-site (no remote option).</p><p><strong>Working Hours: </strong>12:00 PM - 9:00 PM, Monday to Saturday. Because our clients and customers are based primarily in the UK, Europe, and the Americas, our working hours are aligned to those time zones to ensure we're available when our markets are active.</p><p><strong>Salary: </strong>AED 4,000 - 6,000 per month + AED 350 travel allowance + Visa + Insurance.</p><p><strong>Experience Required: </strong>3–5 years.</p><p></p></section>

<p>FinTech Data Engineer</p><p><strong>Experience:</strong> 4–8 years</p><p><strong>Job Summary:</strong><br>Build scalable data pipelines and platforms for financial transaction, customer and risk data.</p><p><strong>Key Responsibilities:</strong></p><ul><li><p>Develop batch and real-time data pipelines.</p></li><li><p>Process large financial datasets.</p></li><li><p>Build ETL/ELT workflows.</p></li><li><p>Integrate structured and unstructured data.</p></li><li><p>Optimize data processing and storage.</p></li><li><p>Ensure data quality and governance.</p></li></ul><br><p><strong>Desired Candidate Profile</strong></p><p>Mandatory Skills: Python, SQL, PySpark, ETL, Data Warehousing Good to Have: Databricks, Snowflake, Kafka, Azure/AWS.</p>

<p><strong>Salary Range - 20000 AED - 25000 AED</strong></p><p>Priority will be given to Candidates - Experienced in Real Estate Pricing, Real Estate Research UAE.</p><p>Type - Hybrid/Remote</p><p><br></p><p><strong>Company Description</strong></p><p><br></p><p>Property Dynamix is a real estate operating system for developers in Dubai and Abu Dhabi. We turn registered DLD and ADREC transactions into defensible decisions: unit pricing, pricing simulations, payment plans, land feasibility, new launch tracking, promotion monitoring and monthly market reports.</p><p><br></p><p>Most platforms in this market sell data. We build what happens after it. A team of AI agents researches comparables, checks pricing against the market, and reviews its own work before a user sees it, with every figure traced back to registry records.</p><p><br></p><p>Our AI analyst, MOIRA, answers market questions in plain language. Through Majlis, our connector, the same market data is available inside Claude and ChatGPT.</p><p><br></p><p><strong>Role Description</strong></p><p><br></p><p>This is a full-time, Hybrid/Remote AI Engineer role in Dubai.</p><p><br></p><p>You won't be training neural networks from scratch. You'll build the agent systems that turn market data into answers people can act on, and the checks that keep those answers honest.</p><p><br></p><p>What you'll work on:</p><p><br></p><p>- Designing and building multi-agent workflows on Google's Agent Development Kit (Python), where each agent has one job and the results are orchestrated into a single answer</p><p>- Tool calling with Gemini: defining tools, handling multi-round tool loops, structured outputs and response schemas</p><p>- Writing and optimising BigQuery SQL over millions of registered transactions, and turning them into the tools agents call</p><p>- Building guardrails that stop an AI from inventing numbers: grounding checks, claim verification, and gates that reject output a person should never see</p><p>- Building evaluation harnesses and golden test sets, so we measure whether a change made MOIRA better or worse instead of guessing</p><p>- Managing model cost and latency: choosing the right model per task, routing calls, and metering spend</p><p>- Shipping to production on Google Cloud: Cloud Run jobs, Firebase Cloud Functions, scheduled pipelines</p><p>- Extending Majlis, our MCP connector for Claude and ChatGPT</p><p><br></p><p>Qualifications</p><p><br></p><p>Must have:</p><p>- Strong Python, and working TypeScript </p><p>- Hands-on experience building LLM applications in production: tool calling, agents, structured output, prompt design</p><p>- Solid SQL, ideally BigQuery, on large datasets</p><p>- Experience with evaluation: you've built tests or scorecards for LLM output and used them to make decisions</p><p>- Comfortable deploying and debugging on a cloud platform, ideally Google Cloud</p><p>- You check your own work. You measure before you fix, and you can explain why something broke, not just that it now works</p><p><br></p><p>Nice to have:</p><p>- Google ADK, LangGraph or a similar agent framework</p><p>- Model Context Protocol (MCP) servers</p><p>- Firebase (Firestore, Auth, Cloud Functions)</p><p>- Experience with real estate, pricing or financial data</p><p>- Knowledge of the Dubai or Abu Dhabi property market</p><p><br></p><ul><li>Degree in Computer Science, AI, Data Science or a related field, or equivalent experience shipping real systems.</li></ul>

<p>About the Role</p><p><br></p><p>We are looking for a Pharmaceutical Data Specialist to join our team at EmergPharma, a pharmaceutical data and intelligence platform.</p><p><br></p><p>The primary responsibility of this role is to clean, standardize, validate, and structure pharmaceutical data to ensure high data quality and consistency across our platform.</p><p><br></p><p>The ideal candidate should have a strong pharmaceutical background combined with good technical and data skills. Experience with Python and data engineering concepts is highly desirable, as the role may gradually expand toward building automated data pipelines and data processing workflows.</p><p><br></p><p><strong>Key Responsibilities</strong></p><p><br></p><p>- Clean, standardize, and validate pharmaceutical datasets.</p><p>- Review and normalize pharmaceutical product information</p><p>- Identify and resolve duplicates, inconsistencies, missing values, and data quality issues.</p><p>- Develop and maintain rules for pharmaceutical data normalization.</p><p>- Convert and standardize different representations of pharmaceutical strengths and units.</p><p>- Perform data validation and quality checks before data is imported into the platform.</p><p>- Work with CSV and structured datasets as part of the current data workflow.</p><p>- Document data-cleaning rules and transformations to make the process reproducible.</p><p>- Collaborate closely with software and data teams to understand platform data requirements.</p><p>- Help identify opportunities to automate repetitive data-cleaning and validation tasks.</p><p>- Over time, contribute to developing automated data pipelines and broader data engineering workflows.</p><p><br></p><p></p><p><br></p><p><br></p><p><strong>Requirements</strong></p><p></p><p></p><p><strong>Essential</strong></p><p></p><p>- Strong understanding of pharmaceutical products and terminology.</p><p>- Strong attention to detail and ability to identify data inconsistencies.</p><p>- Good analytical and problem-solving skills.</p><p>- Experience working with structured data, particularly Excel / CSV files.</p><p>- Ability to work independently and systematically with large datasets.</p><p></p><p><strong>Technical Skills</strong></p><p></p><p>- Good knowledge of Python, particularly pandas, is highly preferred.</p><p>- Understanding of data cleaning and data transformation concepts.</p><p>- Basic knowledge of SQL is a plus.</p><p>- Familiarity with data validation and quality-control techniques is a plus.</p><p>- Familiarity with ETL / ELT concepts is a plus.</p><p>- Experience with data engineering tools and workflows is a plus.</p><p></p><p><strong>Nice to Have</strong></p><p></p><p>- Previous experience working with pharmaceutical databases or drug information systems.</p><p>- Experience in pharmaceutical market data.</p><p>- Experience with data normalization or master data management.</p><p>- Experience building automated data-cleaning scripts.</p><p>- Familiarity with databases such as PostgreSQL.</p><p>- Familiarity with data pipelines, ETL tools, or workflow orchestration.</p><p>- Experience working with APIs or external data sources.</p><p></p><p><strong>What You'll Do in the First Stage</strong></p><p></p><p>Initially, the role will focus primarily on:</p><p></p><p>Raw Pharmaceutical Data → Cleaning → Standardization → Validation → Clean Dataset → Platform Ingestion</p><p></p><p>The workflow is currently relatively simple, but we expect the data operation to evolve over time. The successful candidate will have the opportunity to help us design and automate the data-processing workflow as the platform grows.</p><p></p><p>Who We're Looking For</p><p></p><p>We are looking for someone who combines:</p><p></p><p>Pharmaceutical Knowledge + Data Quality Mindset + Technical Curiosity</p><p></p><p>You don't need to be an advanced Data Engineer from day one. However, you should be comfortable working with data programmatically and interested in gradually taking ownership of more advanced data engineering responsibilities.</p><p><br></p><p></p>

<ol><li><p>Multi-Company ERP Design & Management (Critical)</p></li></ol><p>-Design and implement multi-company architecture in Odoo.</p><p>-Configure:</p><p>-Intercompany transactions (sales, purchases, transfers)</p><p>-Shared vs separate warehouses</p><p>-Multi-company chart of accounts</p><p>-Consolidated and individual financial reporting</p><p>-Ensure:</p><p>-Proper data segregation and access control</p><p>-Smooth intercompany workflows without duplication</p><p>-Handle cross-company inventory and procurement flows.</p><ol><li><p>Cross-Functional Coordination</p></li></ol><p>-Work closely with the IT department for system setup and integrations.</p><p>-Coordinate with heads of multiple entities/departments to:</p><p>-Align requirements across companies</p><p>-Ensure uniform processes where required</p><p>-Deliver tasks within timelines</p><p>-Act as a central point of contact for ERP across all companies.</p><ol><li><p>Business Understanding & Process Alignment</p></li></ol><p>-Understand group-level and entity-level business needs.</p><p>-Map workflows across:</p><p>-Manufacturing</p><p>-Supply chain</p><p>-Finance</p><p>-Standardize processes while allowing flexibility per company.</p><ol><li><p>Implementation & Configuration</p></li></ol><p>-Implement Odoo modules across companies:</p><p>-Manufacturing (MRP)</p><p>-Inventory & Warehouse</p><p>-Sales & Procurement</p><p>-Accounting</p><p>-Configure:</p><p>-Multi-warehouse setups</p><p>-BOMs and production workflows</p><p>-Product traceability across entities</p><ol><li><p>Customization & Development</p></li></ol><p>-Develop custom features for:</p><p>-Intercompany transactions automation</p><p>-Consolidated reporting</p><p>-Use Python, PostgreSQL, XML/QWeb for development.</p><ol><li><p>Data Migration (Multi-Entity)</p></li></ol><p>-Migrate and structure data separately for each company:</p><p>-Customers, vendors, products</p><p>-Financials and opening balances</p><p>-Ensure accurate consolidation and reconciliation across entities.</p><ol><li><p>UAT (Across Companies)</p></li></ol><p>-Conduct UAT for each company and cross-company workflows:</p><p>-Intercompany sales/purchase cycles</p><p>-Inventory transfers</p><p>-Financial consolidation</p><p>-Ensure all entities sign off before go-live.</p><ol><li><p>Training & User Enablement</p></li></ol><p>-Train teams across different companies/entities.</p><p>-Ensure users understand:</p><p>-Their company-specific workflows</p><p>-Intercompany processes</p><p>-Provide SOPs and manuals.</p><ol><li><p>Go-Live Execution</p></li></ol><p>-Plan phased or full go-live across companies.</p><p>-Ensure:</p><p>-Data readiness per entity</p><p>-Smooth transition with minimal disruption</p><ol><li><p>Post Go-Live Support</p></li></ol><p>-Provide support across all entities.</p><p>-Monitor:</p><p>-Intercompany issues</p><p>-Data inconsistencies</p><p>-Continuously improve system efficiency.</p><ol><li><p>Compliance & Reporting</p></li></ol><p>-Ensure compliance with UAE VAT across multiple entities.</p><p>-Generate:</p><p>-Entity-level reports</p><p>-Consolidated group reports</p><p>Required Skills</p><p>-Strong experience in multi-company Odoo implementation</p><p>-Expertise in:</p><p>-Intercompany workflows</p><p>-Consolidation logic</p><p>-Multi-warehouse & multi-ledger systems</p><p>-Technical skills:</p><p>-Python, PostgreSQL, XML/QWeb</p><p>Preferred Experience</p><p>-Manufacturing / Copper / Industrial sector</p><p>-Experience with:</p><p>-Tally to Odoo migration</p><p>-Import/export, Incoterms, LC cycles</p><p>-Prior experience handling group companies in UAE/GCC</p><p>Key Competencies</p><p>-Strong coordination across multiple stakeholders</p><p>-Ability to manage complex multi-entity ERP structures</p><p>-Training and user adoption expertise</p><p>-Problem-solving under go-live pressure</p><p><strong>Desired Candidate Profile</strong></p><p>We are looking for a highly experienced and technically strong Senior Odoo Engineer with proven expertise in end-to-end ERP implementation across multi-company environments, preferably within UAE/GCC industrial or manufacturing sectors. The ideal candidate will have deep hands-on experience in both technical development and functional ERP architecture, with the ability to independently design, implement, and manage complex Odoo systems across multiple business entities.</p>