Senior Machine Learning Engineer (Applied Intelligence)

What you’d do

Own ML infrastructure that moves prototypes to production systems on factory floors, building datasets, training infrastructure, and inference systems in cloud and on-premises OT environments. Serve as on-call owner for deployed ML systems and coordinate with data engineering and enterprise teams. Found on the employer's careers page on Oct 15, 2026. Apply through the link.

You’ll need

• MLOps and production ML infrastructure experience
• Data engineering skills
• Cloud and on-premises OT deployment experience
• On-call ownership of deployed ML systems
• Cross-team coordination