Senior MLOps Engineer - Robotics / GenAI

Overview Senior Principal Consultant | Semiconductor, Embedded Systems, AI, Robotics and Machine Learning

Are you passionate about scalable Machine Learning infrastructure and production-grade AI systems? Do you thrive at the intersection of engineering, data science, and DevOps?

Join us as a Senior MLOps Engineer and help architect the future of our Generative AI framework.

You’ll take ownership of the entire ML lifecycle, from data pipelines and model training to deployment, observability, and performance monitoring at scale.

Responsibilities

Build robust, scalable ML environments across dev, test, and production

Automate the ML lifecycle using tools like Kubeflow, MLflow, SageMaker, or Kubernetes

Design CI/CD pipelines for ML with reproducibility and reliability

Implement advanced observability for data drift, model health, and infra performance

Partner with Data Scientists to ship models that scale

Qualifications

5+ years in DevOps/software engineering, with 2–3 years in MLOps

Deep knowledge of ML infrastructure, Kubernetes, cloud platforms (AWS/GCP/Azure), and GPU-accelerated compute

Experience building ML tooling for training, monitoring, versioning, and serving

Bonus points for experience in: Python, Bash, Go, Terraform, Pulumi, GitLab CI, ArgoCD, and/or benchmarking chops

Work on cutting-edge AI products with global reach

A dynamic, high-performing, and diverse team

Flat hierarchies, fast decision-making, and meaningful ownership

Modern workspace, flexible hours, and mobile work options

Legal and Application Information In accordance with local employment laws, applicants must have current, valid authorisation to work in Germany at the time of application. We are unable to sponsor employment visas for this role. Applications from individuals without existing work authorisation for Germany cannot be considered.

If this sounds interesting and you'd like to learn more, please apply or email me with a copy of your CV at

By applying to this role you understand that we may collect your personal data and store and process it on our systems. For more information please see our Privacy Notice (