
MLOps GenAI & LLM Production at Scale
Industrializing ML & GenAI models from POC to production on GCP with Kubernetes, observability (Datadog), security (Vault), and CI/CD automation for multiple LLM-powered products.
Production Impact
End-to-end MLOps platform for GenAI at enterprise scale
Project Details
ADEO / Leroy Merlin
Retail – MLOps & GenAI Production
2024–2025
Mission
Lead MLOps Senior – ML/GenAI Production & Operations
Industrializing ML & GenAI from POC to Production on GCP
Hybrid mission / France, English-speaking
Industrialization of ML & GenAI models from Data Scientists' POCs to full production on Google Cloud Platform. Comprehensive observability and reliability through logs, metrics, traces, SLI/SLO/SLA with Datadog. Security and DevSecOps including secrets management (Vault), image hardening, and compliance policies.
Contexte & Environnement
ADEO / Leroy Merlin, a global leader in home improvement retail and e-commerce, needed to industrialize multiple ML and GenAI-powered products at scale. The retail context required managing chatbots, automated product descriptions, financial signal scraping pipelines, and SWOT matrix generation — all while meeting strict security, observability, and compliance requirements.
Lead MLOps Senior (multi-team collaboration with Data Scientists and DevOps)
Google Cloud Platform with Kubernetes orchestration
Objectifs Cles
Technologies & Infrastructure
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