Data Science & AI

Machine Learning Engineer

You build the technological foundation under AI applications. You ensure that models run reliably and efficiently on cloud-native platforms. With your knowledge of Azure, CI/CD, and Infrastructure-as-Code, you’ll help models perform optimally and coach DevOps and Data Science teams in best practices.

What will you do?

Your primary focus will be on designing, building and managing our cloud-native ML platforms, primarily within Azure. You’ll develop data and feature pipelines for both batch and real-time inference, and set up CI/CD lines for fully automated model deployments. Tasks such as configuring automatic retraining, drift detection and canary rollouts are part of your daily work. You continuously monitor the cost, security, SLAs and governance of the running systems. Besides your hands-on work, you play a crucial coaching role and explore innovations such as serverless ML to continuously improve our platform.

What do you bring?

  • A completed college/university degree in Computer Science, AI, Data Engineering or similar field.
  • At least three years of experience as an ML Engineer with models in production.
  • In-depth, working knowledge of the Azure ecosystem (Azure ML, Data Factory, AKS, DevOps).
  • Experience with Infrastructure-as-Code (Terraform/Bicep) and GitOps principles.
  • Expertise in containerization and orchestration with Docker and Kubernetes.
  • Strong Python skills and mastery of workflow orchestration (e.g. Airflow, Prefect).
  • You have experience setting up feature stores, model versioning and CI/CD for machine learning, including observability (Prometheus, Grafana).
  • You have an eye for AI ethics, fairness, security and compliance (privacy-by-design).

What do we offer you?

  • The opportunity to build the technical backbone for advanced AI and ML projects.
  • A close-knit community of experts where knowledge sharing, experimentation and entrepreneurship take center stage.
  • A generous training budget for personal growth, and the opportunity to host your own tech talks.
  • Mentorship and career coaching tailored to your ambitions.
  • A competitive salary, flexible working hours and the opportunity for hybrid work.

Roll

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