Machine Learning & Generative AI Engineer

Location

QATAR

Machine Learning & Generative AI Engineer (Mid-Level)

ML, DL, Python, Lang Chain/Lang Graph, Azure AI Foundry, RAG, Vector Stores, Semantic Kernel

Build and deploy enterprise‑grade Generative AI solutions with strong grounding and measurable quality. Implement RAG pipelines, agentic workflows (Lang Chain/Lang Graph/Semantic Kernel), and evaluation/monitoring on Azure AI Foundry and Azure services, or GCP.

• Implement end‑to‑end Retrieval‑Augmented Generation pipelines, including ingestion, chunking, embeddings, retrieval, reranking, citation, and grounding.
• Develop agentic workflows using Semantic Kernel, Lang Chain, and Lang Graph (tools, routing, memory) with guardrails and safe tool use.
• Integrate vector stores/search such as Azure AI Search vector, Pinecone, Weaviate, Milvus, pgvector, or equivalent and maintain reliable data pipelines.
• Build Python services/APIs (FastAPI preferred) with streaming, authentication (Entra /OIDC) and production‑ready error handling.
• Own quality and operations: golden datasets, automated regression evaluation, tracing/observability, and latency/cost optimization (caching, batching).

• 3–6 years of software engineering experience; 1–3 years delivering ML/GenAI features to production.
• Strong Python, API development, unit/integration testing, and Git‑based workflows (Azure Dev Ops or Git Hub).
• Hands‑on experience with RAG patterns, embeddings, retrieval strategies, prompt design, and LLM evaluation basics.
• Experience with Azure AI Foundry / Azure OpenAI and deploying on Azure (Container Apps, Functions, App Service, or AKS).
• Comfortable working with data and documents; strong communication and documentation skills.

• LLMOps: prompt/version governance, tracing (Lang Smith/Open Telemetry), and evaluation frameworks.
• Hybrid search and reranking, structured outputs (JSON schema), and prompt‑injection/tool‑safety mitigations.
• Performance testing and cost optimization experience for LLM‑based systems.
• Bilingual communication (Arabic & English).

• Python (FastAPI), Lang Chain, Lang Graph, Azure AI Foundry, Azure OpenAI, Azure AI Search (vector).
• Semantic Kernel, PyTorch, Keras, Tensor Flow.
• Pinecone, Weaviate, pgvector, Azure AI Search, Docker, Azure Dev Ops, Key Vault, Application Insights.

vector, python, rag, kernel, ml, azure