✨ The Role in One Sentence

Agile Robots SE is seeking a Senior MLOps Engineer to design, build, and maintain the infrastructure powering their Generative AI framework.

📋 What You'll Likely Do

• 30%: Design, build, and maintain scalable ML infrastructure across various environments.

• 30%: Automate and optimize the ML lifecycle, including CI/CD pipelines.

• 40%: Implement monitoring systems for data drift, model performance, and infrastructure health.

🧑‍💻 Profiles Doing This Job

• High Priority: 5+ years in DevOps/software engineering/infrastructure, with 2–3 years in MLOps.

• High Priority: Strong with ML tooling (MLflow, Kubeflow, Airflow, SageMaker, etc.).

• High Priority: Expertise in containerization & orchestration (Docker, Kubernetes).

📈 How This Role Will Look on Your CV

• Designed and maintained scalable ML infrastructure, ensuring reliability and reproducibility.