We are seeking a MLOps Engineer to join a dynamic team focused on developing and maintaining machine learning pipelines. The role involves automation of the Machine Learning lifecycle, scaling infrastructure in the cloud, monitoring model performance, and collaborating with Data Scientists. This position offers opportunities for professional development and career growth.
Requirements
- Fluent German in speech and writing (C1), good English skills
- Completed degree in Information Science, Data Science or equivalent qualification
- Extensive experience in DevOps/Cloud Engineering or ML Engineering
- Strong knowledge of Python and containerized applications (Docker, Kubernetes)
- Experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn)
- Knowledge of cloud platforms and infrastructure as code (Terraform, CloudFormation)
- Familiarity with ML orchestration tools (MLflow, Kubeflow, Airflow)
- Experience with cloud-based ML platforms (Sagemaker, Azure ML)
- Good English skills
Benefits
- Innovative, modern and challenging work environment
- Long-term career prospects
- Attractive salary
- Flexible working hours and remote work
- Modern work environment in cool offices
- Health benefits (ergonomic chairs, adjustable desks, fresh fruit)
- Childcare allowance
- Corporate benefits, discounts on shopping
- Betting contribution to the Occupational Savings Plan / VEVL
- Drinks, breakfast cereals, fruit at the workplace