GenAI & MLOps Engineer - Remote & Flexible

Talantir; Lyon; Hybrid; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Offices in Lyon and Paris

Flexible working hours

Remote work option

2 weeks of remote work from anywhere

Health insurance Apicil

Meal vouchers Swile card (9€/day)

Public transport 50% reimbursed

Holiday Bonus

Quarterly team events

Job summary

DataGalaxy is seeking an AI/GenAI-focused MLOps Engineer to join the AI-Share team in Lyon. You will help power GenAI features inside the data governance platform and ensure production readiness, reliability, and cost controls across a polyglot stack.

You will collaborate with Product, Data, and Engineering to deploy, monitor, and improve GenAI capabilities, including CI/CD pipelines, tracing, and observability, while learning and growing with the team.

Qualifications

• Professional experience delivering production software in Python (services, tooling, automation).
• Familiarity with CI/CD and shipping changes to production (pipelines, environments, rollbacks).
• Comfortable with cloud/production constraints: reading logs/metrics, debugging issues, improving reliability.

Responsibilities

• Contribute to the evolution of our 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

Skills

Python

CI/CD

Cloud platforms

Observability

GenAI tooling

Multi-language code reading

Tools

Docker

Kubernetes

Terraform

FastAPI

Job description

DataGalaxy is seeking an AI/GenAI-focused MLOps Engineer to join the AI-Share team in Lyon. You will help power GenAI features inside the data governance platform and ensure production readiness, reliability, and cost controls across a polyglot stack.

You will collaborate with Product, Data, and Engineering to deploy, monitor, and improve GenAI capabilities, including CI/CD pipelines, tracing, and observability, while learning and growing with the team.