Senior Machine Learning Engineer

It Campus; Lisboa; Presencial; EUR 70 000 - 110 000; Tempo integral

Resumo da oferta

IT Campus is seeking an experienced Data & AI Platform Engineer to join the internal Data & AI Engineering platform team. You will build reusable platform components, contribute to ML lifecycle tooling, and support GenAI workloads on cloud infrastructure.

Ideal candidates have 5+ years of AI engineering, strong software fundamentals, cloud experience (AWS/GCP/Azure), Terraform, Python, and experience with MLflow/Kubeflow. Hybrid work with one day in the office weekly.

Qualificações

• 5+ years of AI engineering experience.
• Solid software fundamentals and system design thinking.
• Cloud experience (AWS/GCP/Azure).
• Proficiency in Python and ML tooling.

Responsabilidades

• Build and maintain reusable platform components and abstractions.
• Develop ML lifecycle tooling: experiment tracking, model registry, deployment pipelines.
• Deploy GenAI components: LLM access, agent lifecycle, tool integrations, guardrails.
• Provide documentation and hands-on guidance to internal teams.
• Operate CI/CD for ML and GenAI workloads.

Conhecimentos

AI experience

Engineering fundamentals

Cloud platforms

Python proficiency

ML workflows

Kubernetes (EKS)

Terraform / IaC

GenAI tooling

GPU optimization

End-to-end ownership

Formação académica

CS degree

Ferramentas

MLflow

SageMaker Pipelines

Kubeflow

Kubectl

Terraform

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?

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...

About us

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.