Full Stack Data Scientist; Azure AI Engineer
Job Description & How to Apply Below
# Full Stack Data Scientist (Azure AI Engineer)
** On-site
** Full timeb
89ef-b523-9fDubai, Dubai, United Arab Emirates## Description
** Full Stack Data Scientist (Azure AI Engineer)
***
* Location:
Dubai
***
* Experience:
8+ years (Data Science / AI Engineering / Applied ML)
**** Job Type: Full-time
**** Job Summary** :
We are looking for a highly capable Full Stack Data Scientist / Azure AI Engineer who can build end-to-end AI products: data + ML/DL/CV models + Agentic workflows + APIs + UI + scalable deployment on Kubernetes (AKS). The role requires deep expertise in the Azure AI ecosystem (Azure Machine Learning, Azure AI Foundry, Azure AI Search) and strong handson experience building AI agents using Lang Chain, Lang Graph, and/or Microsoft Agent Framework, with Langfuse for tracing, evaluation, and observability.
The ideal candidate has shipped production systems with measurable business impact and can operate them reliably through strong MLOps/LLMOps practices.
** Key Responsibilities
***
* 1) End-to-End AI Product Delivery*
* • Own delivery from problem definition → architecture → development → deployment → monitoring → iterative improvements.
• Translate business needs into robust AI solutions with clear KPIs, timelines, and measurable outcomes.
• Build AI applications that are secure, scalable, maintainable, and production ready.
*
* 2) AI Agents & Agentic Workflows (Must-Have)*
* • Design, implement, and orchestrate AI agents capable of planning, tool use, function calling, retrieval, and multi-step execution.
• Build agent systems using:o Lang Chain for tool/function orchestration, retrieval, and integrationso Lang Graph for stateful, multi-step, resilient agent workflowso Microsoft Agent Framework for enterprise-grade agent patterns and integrations Group IT
• Implement agent patterns: routing, task decomposition, multi-agent collaboration, memory, verification, retries/fallbacks, and human-in-the-loop approvals.
• Apply security & safety: prompt-injection defenses, tool permissioning, grounding/citations, policy checks, and audit logs.
*
* 3) LLMOps / Observability / Evaluation (Langfuse)*
* • Implement Langfuse (or equivalent) for:o prompt and trace logging, latency/cost monitoringo dataset-based evaluation, regression testing, and quality gateso feedback loops and continuous improvement of prompts/agents
• Establish evaluation frameworks for RAG/agents: retrieval metrics, answer quality, hallucination checks, and guardrail effectiveness.
*
* 4) Azure Machine Learning & MLOps (Must-Have)*
* • Build/operate ML workflows using Azure Machine Learning:o training jobs, compute, environments, pipelines, MLflow trackingo model registry and promotion, managed online endpoints
• Implement CI/CD for model + application releases and MLOps practices: versioning, reproducibility, automated testing, and retraining triggers.
*
* 5) Azure AI Foundry & Azure AI Search (Must-Have)*
* • Build GenAI solutions using Azure AI Foundry (prompt flows/orchestration, deployment integration, evaluation workflows).
• Implement RAG pipelines using Azure AI Search:o ingestion/indexing of structured & unstructured datao vector + hybrid search, semantic ranking (where applicable), filtering, and relevance tuningo citations, metadata-based access control, and indexing automation
*
* 6) ML/DL & Computer Vision (Strong Requirement)*
* • Develop and deploy strong ML/DL solutions including Computer Vision:o classification, detection, segmentation, OCR/document understanding, anomaly/defect detection
• Conduct experimentation, tuning, and optimization (performance, robustness, cost).
• Productionize CV pipelines with monitoring and continuous improvement. Group IT
*
* 7) Backend/API Engineering (FastAPI + Node.js)*
* • Build production APIs for models and agents using FastAPI (Python) (async, OpenAPI/Swagger, auth, middleware, validation).
• Build service orchestration and integrations using Node.js where appropriate.
• Implement secure API patterns: authentication/authorization (Azure AD/RBAC patterns), rate-limiting, caching, and error handling.
8) Frontend Engineering (React)
• Build modern UIs in React for AI applications (agent chat UI, dashboards,…
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