Senior Machine Learning Engineer

Function Description / Professional Tasks

You'll join the internal Data & AI Engineering platform team, responsible for the tooling and components that enable data and AI use cases across the company. The team builds on top of existing cloud infrastructure - owning the data and AI layer: reusable modules, lifecycle tooling, agentic components, and the internal developer experience for teams building on the platform.

You'll contribute to design, own implementation, and work directly with internal teams that consume what you build.

What you can do

• Building and maintaining reusable platform components: Terraform modules, deployment blueprints, and abstractions that internal ML and GenAI teams depend on
• ML lifecycle tooling: experiment tracking, model registry, deployment pipelines, monitoring
• GenAI-specific components: LLM access and routing, agent lifecycle and versioning, tool integrations, guardrails, evaluations
...