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
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