onsite
Team Lead Artificial Intelligence - MLOps / Machine Learning - Workwise GmbH
ML Engineer
Lead an AI team to design, develop, and operationalize machine‑learning models using Python, TensorFlow/PyTorch, Docker, Kubernetes and AWS, while establishing robust MLOps pipelines and best practices.
About the role
Key Responsibilities
- Lead and mentor a cross‑functional AI team, defining technical direction and ensuring delivery of high‑quality ML solutions.
- Design, develop, and productionize machine‑learning models using Python, TensorFlow or PyTorch.
- Build and maintain scalable MLOps pipelines with Docker, Kubernetes, CI/CD tools, and cloud services (AWS).
- Collaborate with data engineers, product owners, and stakeholders to translate business requirements into AI solutions.
- Establish best practices for model versioning, monitoring, and continuous improvement.
Requirements
- 5+ years of hands‑on experience in machine learning and MLOps, with a proven track record of deploying models to production.
- Strong proficiency in Python and deep‑learning frameworks such as TensorFlow or PyTorch.
- Extensive experience with containerization (Docker) and orchestration (Kubernetes) in cloud environments, preferably AWS.
- Solid understanding of CI/CD pipelines, Git, and automated testing for ML workflows.
- Excellent leadership, communication, and problem‑solving skills.
Skills
pythontensorflowpytorchdockerkubernetesawscicd