Senior ML Platform Engineer — GenAI & MLOps

Die Schweizerische Post AG; Lisboa; Híbrido; 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

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.