Senior Machine Learning Engineer

Swiss Post; Lisboa; Híbrido; EUR 90 000 - 120 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

25 vacation days

Tech allowance

Health insurance

Laptop/iPhone

Second screen

Annual training allowance

Resumo da oferta

Swiss Post IT Campus in Portugal is seeking an experienced AI Platform Engineer to join the Data & AI Engineering platform team. You will contribute to the design, own implementation, and collaborate with internal teams that rely on the platform’s components.

You will build reusable platform components, GenAI-specific modules, and CI/CD for ML workloads, while guiding internal teams on adoption and best practices. A hybrid work model is offered with one mandatory office day per week.

Qualificações

• 5+ years of proven AI experience.
• Strong engineering fundamentals and end-to-end ownership.
• Cloud platform experience (AWS, GCP, Azure, or Databricks).
• Infrastructure-as-code experience; Terraform exposure is a plus.
• Experience building ML workflows end-to-end: training, tracking, deployment.
• Deploying and maintaining AI solutions in Kubernetes (EKS).
• Familiarity with ML tooling (MLflow, SageMaker Pipelines, Kubeflow).

Responsabilidades

• Build and maintain reusable platform components: Terraform modules, deployment blueprints, and abstractions for internal ML/GenAI teams.
• GenAI-specific components: LLM access and routing, agent lifecycle and tooling integrations, guardrails.
• CI/CD for ML and GenAI workloads.
• Support internal teams in adopting platform components: documentation and hands-on guidance.

Conhecimentos

AI engineering

Cloud platforms

Terraform

Kubernetes

ML workflows

GenAI tooling

Model deployment

Python

Observability

GPU optimization

Formação académica

BSc CS

Ferramentas

MLflow

SageMaker Pipelines

Kubeflow

Git

Descrição da oferta de emprego

At the IT Campus, you can grow thanks to challenging IT projects, flat hierarchies, an inspiring environment and state-of-the-art technologies. You also have the opportunity to build up the IT Campus from scratch. You can work flexibly in terms of time and location and benefit from attractive working conditions.

Swiss Post connects people, brings cultures together and is one of the largest IT employers in Switzerland: We handle over 400 software projects each year and run more than 1,000 applications - with these figures set to rise in future.

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
• 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

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