Senior Machine Learning Engineer

📋 Job Overview

You'll join the internal Data & AI Engineering platform team at Swiss Post, 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.

🏢 About Swiss Post

Swiss Post is a leading postal and logistics company in Switzerland, offering innovative solutions in digital communication, logistics, and financial services.

🎯 The Role

You'll contribute to design, own implementation, and work directly with internal teams that consume what you build. The role involves building and maintaining reusable platform components, ML lifecycle tooling, GenAI-specific components, and CI/CD for ML and GenAI workloads.

✅ Key Responsibilities

• 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

📌 Required Qualifications

• 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.)
• Education: University/technical college degree in computer science or comparable.

⭐ Desirable Experience

• Knowledge and Experience with GPU Utilization Optimization (e.g. vLLM) is a plus

🎁 Benefits

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...

🛂 Visa & Eligibility

Willingness to travel. Hybrid Model: One day a week @office (mandatory).