Ingénieur MLOps / LLMOps, Azure AI & Copilot Studio (IT) / Freelance

Job summary

The role focuses on establishing a reference base for existing AI agents, addressing quality retrieval, throttling limitations, and response anchoring. Key responsibilities include recommending target architecture, building production processing chains, implementing CI/CD practices, and ensuring compliance with data management policies, utilizing technologies such as Azure AI Foundry, Microsoft Copilot Studio, and Python.

Qualifications

• 5+ years in data engineering or ML
• At least 2 years on production generative AI systems
• Proficiency in Azure ecosystem
• Confirmed experience with Microsoft Copilot Studio and Power Platform
• Proven design of scalable RAG architectures
• Experience with evaluation and observability tools
• Experience delivering in regulated environments
• Ability to constructively challenge established diagnoses

Responsibilities

• Establish a reference base for existing AI agents
• Distinguish platform limitations from configuration issues
• Recommend and validate target architecture
• Build production processing and retrieval chains
• Implement evaluation mechanisms with reference datasets
• Establish CI/CD, environment separation, and prompt versioning
• Deploy monitoring and observability solutions
• Ensure compliance with data localization and access management
• Document solutions and transfer knowledge to internal teams

Skills

Relocation