Senior Machine Learning Engineer

Job description

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 − CI/CD for ML and GenAI workloads − Supporting internal teams in adopting platform components - documentation, examples, hands-on guidance where needed Personal Skills and Education What you bring − You have more than 5 years of proven experience working with AI. − Solid engineering fundamentals - maintainable code, clear system design thinking, ability to own deliverables end-to-end − Cloud platform experience (AWS, GCP, Azure, or Databricks). − Infrastructure-as-code experience; Terraform exposure is a plus − Python proficiency − Experience building and maintaining ML workflows end-to-end - training pipelines, experiment tracking, model registry, deployment, and monitoring. − Deploying and maintaining AI Solutions in kubernetes, preferrably in EKS. − Familiarity with relevant tooling (e.g. MLflow, SageMaker Pipelines, Kubeflow, or similar). − Hands-on experience with LLMs or GenAI tooling in a technical context - working with model APIs, building or operating agentic systems, or contributing to GenAI infrastructure (evaluation, observability, guardrails, etc.) − Knowledge and Experience with GPU Utilization Optimization (e.g. vLLM) is a plus Education − University/technical college degree in computer science or comparable. Language Skills − English oral and written − Optional: German oral (and written) Additional Comments − Willingness to travel − Hybrid Model: One day a week @office (mandatory) Why us? Just by joining us you will get benefits like: Open minded company where every employee has to contribute to the development of the company - ideas are welcome as well as independent thinking to 25 annual days of vacations Flexible working hours Annual allowance for Benefits (Training, Gym, Public Transportation, Technologies, etc...) An amazing onboarding week at Switzerland iPhone Second Screen to work at home (Flat or a Curved one) First month Tech Allowance to buy your headset or, if you already have one, whatever you need to work comfortably Health insurance for you and your family Life insurance Office Perks (coffee, fruit, stand up desks. etc...) So much more...