Senior Machine Learning Engineer

Die Schweizerische Post AG; Lisboa; Presencial; EUR 50 000 - 70 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

25 annual days of vacation

Flexible working hours

Annual allowance for Benefits (Training, Gym, Public Transportation, etc.)

Health insurance for you and your family

Life insurance

Office perks (coffee, fruit, etc.)

Tech allowance for work setup

Resumo da oferta

Die Schweizerische Post AG in Lisbon is looking for a skilled AI Engineer to join the Data & AI Engineering platform team. You will be responsible for building and maintaining reusable platform components and supporting internal teams in adopting those components.

The ideal candidate should have over 5 years of AI experience, cloud platform knowledge, and proficiency in Python. The position allows for a hybrid work model with one mandatory day at the office each week and offers excellent perks including health insurance and flexible working hours.

Qualificações

• More than 5 years of proven experience working with AI.
• Solid engineering fundamentals and ability to own deliverables end-to-end.
• Experience building and maintaining ML workflows end-to-end.

Responsabilidades

• Building and maintaining reusable platform components like Terraform modules.
• Supporting internal teams in adopting platform components.
• CI/CD for ML and GenAI workloads.

Conhecimentos

AI experience

Cloud platform experience (AWS, GCP, Azure, or Databricks)

Python proficiency

Kubernetes

Terraform exposure

Formação académica

University/technical college degree in computer science or comparable

Ferramentas

MLflow

SageMaker Pipelines

Kubeflow

Descrição da oferta de emprego

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, preferably 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?

• 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 in 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...