Job Main Responsibilities

• Support development and deployment of AI and advanced analytics use cases
• Prepare, validate, and curate data for AI workloads
• Ensure quality, performance, and governance of AI outputs
• Collaborate with data engineering and analytics teams
• Support responsible and scalable AI adoption

Technical Skills & Technology Landscape

• Machine learning and advanced analytics concepts
• Analytics-ready and AI-ready datasets
• Model validation, monitoring, and performance tracking
• Cloud-based analytics and AI platforms

Qualifications And Skills

• Core Technical
• LLM orchestration frameworks: LangChain, Semantic Kernel, Azure AI Foundry
• MLOps practices: model versioning, deployment pipelines, monitoring (MLflow, Azure ML)
• Prompt engineering: few-shot, chain-of-thought, structured output, retrieval-augm...