Senior Consultant / Manager – MLOps & LLMOps Lead (H/F/X)
Core
Lead the transition from scattered AI experiments to an industrialized AI portfolio by defining MLOps/LLMOps frameworks and driving adoption across Data Science, Engineering, and Cloud teams.
Role type
Senior Consultant / Manager – MLOps & LLMOps Lead
Builds
Industrialized AI portfolios, multi-product LLMOps frameworks, deployment pipelines, and observability systems.
Domain
AI/ML Engineering, Cloud Infrastructure, Data Governance
Deliverable
production ML models
Required skills
MLOps/LLMOps lifecycle management, CI/CD, observability, security, SLO definition, FinOps, leadership of delivery, cross-functional transformation, client advisory
Preferred skills
Experience with ML/LLM platforms, model registries, deployment pipelines, incident management
Technologies
Microsoft, Google, AWS, Mistral, Anthropic, Databricks, Dataiku
Responsibilities
Define industrialization targets, standards, and roadmaps; arbitrate tooling, SLOs, security, and run responsibilities; lead delivery and team growth; develop client relationships and business propositions; establish governance for lifecycle, traceability, and evaluation.
Seniority
Senior, hands-on IC with leadership responsibilities
