Platform ML Engineer — GenAI, MLOps, Hybrid

It Campus; Lisboa; Híbrido; 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

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.