Join the AI-Share team at DataGalaxy to build and operate the foundations powering Generative AI features (LLM, RAG, agents) within the DataGalaxy data governance platform. This role focuses on MLOps and ModelOps to ensure reliable production deployment, monitoring, cost control, and traceability of GenAI capabilities while collaborating across engineering teams.
What You'll Do
- Contribute to the evolution of the ModelOps platform for GenAI: provider integrations, configuration, deployment automation, and operational tooling.
- Help implement practical patterns for running GenAI workloads in production: evaluation, versioning, reproducibility, safe rollouts/rollbacks, and environment management.
- Build and improve CI/CD workflows adapted to AI: packaging, automated checks, evaluation steps (when applicable), deployment, and rollback.
- Improve traceability of AI assets (configs, prompts/templates when applicable, evaluation outputs, versions) to support governance and debugging.
- Add and maintain observability for GenAI workloads: latency, availability, usage/cost signals, and quality-related indicators (dashboards/alerts).
- Develop and improve GenAI features within the platform (agent, RAG pipelines, MCP server): new capabilities, prompt engineering, bug fixes, and client-facing improvements.
- Work closely with Product / Data / Engineering to integrate GenAI capabilities into the platform in a maintainable way.
- Participate in code reviews, documentation, and post-incident follow-ups (RCA / action items), with guidance from the team.
What We're Looking For
- Curiosity, eagerness to learn, pragmatism, and steady progress.
- Experience with MLOps / ModelOps delivery: making GenAI capabilities reliable in production (deployment, monitoring, cost control, traceability).
- Ability to collaborate with product engineering teams across a polyglot stack.
Technical Stack
- Python
- Azure AI Foundry
- AWS Bedrock
- GCP Vertex
- CI/CD
- Docker
- containers
- observability tooling
Team & Environment
- AI-Share team working on GenAI / MLOps & ModelOps within DataGalaxy engineering
Work Mode
- France
- Europe
- United States
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
