Summary from listing
Boehringer Ingelheim is hiring a Senior MLOps Engineering Leader to own the architecture, standards, roadmap, and technical direction for the AI Accelerator’s production AI platform. The role covers the full model lifecycle, including training orchestration, experiment tracking, model registries, CI/CD, deployment, monitoring, governance, distributed and federated learning, and cost optimisation. It is a strategic and hands-on leadership position reporting to the AI Enablement leadership team, requiring a PhD or MSc in a STEM subject and extensive senior-level MLOps, machine learning platform, or machine learning engineering experience. The role is hybrid, with approximately four days per week in the office.
