Robotics MLOps & Data Engineer

Summary: The Robotics MLOps & Data Engineer role involves building and operating production-grade MLOps and data infrastructure to support robotics R&D teams in training and deploying machine learning solutions. The position requires designing scalable data and ML pipelines, defining standards for data management, and promoting best practices in CI/CD and testing. Collaboration with R&D teams is essential to translate requirements into robust infrastructure. The contract is for 6 months with a requirement for on-site work in Zürich three days a week, starting ASAP.

Key Responsibilities:

• Build and operate production-grade MLOps and data infrastructure enabling robotics R&D teams to train and deploy ML solutions at scale
• Design scalable data and ML pipelines for real-world and simulated robotics data
• Define standards for data ingestion, management, sharing, and ML lifecycle tooling
• Enable adoption across teams through pipeline templates, documentation, and hands-on support
• Promote best practices around CI/CD, versioning, testing, and reproducibility
• Collaborate closely with R&D teams to translate requirements into robust infrastructure

Key Skills:

• MSc/PhD in Computer Science or similar, with a strong ML focus
• Strong experience building and running production MLOps and data platforms
• Solid hands-on skills in Python, ML frameworks (PyTorch, TensorFlow, JAX), and tools like MLflow
• Experience with cloud, hybrid, or on-prem environments (Azure is a plus)
• Knowledge of CI/CD, Docker, Kubernetes, and IaC (Terraform)
• Robotics ML, deployment to hardware, and familiarity with ROS2 / Omniverse are a plus
• Strong communication skills, autonomous working style, and an agile mindset
• Fluent in English; basic German is a plus

Salary (Rate): undetermined

City: Zürich

Country: Switzerland

Working Arrangements: on-site

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

6 month contract, 3 days On-site in Zürich, Start: ASAP

Your Mission

• Build and operate production-grade MLOps and data infrastructure enabling robotics R&D teams to train and deploy ML solutions at scale
• Design scalable data and ML pipelines for real-world and simulated robotics data
• Define standards for data ingestion, management, sharing, and ML lifecycle tooling
• Enable adoption across teams through pipeline templates, documentation, and hands-on support
• Promote best practices around CI/CD, versioning, testing, and reproducibility
• Collaborate closely with R&D teams to translate requirements into robust infrastructure

Your Skillset

• MSc/PhD in Computer Science or similar, with a strong ML focus
• Strong experience building and running production MLOps and data platforms
• Solid hands-on skills in Python, ML frameworks (PyTorch, TensorFlow, JAX), and tools like MLflow
• Experience with cloud, hybrid, or on-prem environments (Azure is a plus)
• Knowledge of CI/CD, Docker, Kubernetes, and IaC (Terraform)
• Robotics ML, deployment to hardware, and familiarity with ROS2 / Omniverse are a plus
• Strong communication skills, autonomous working style, and an agile mindset
• Fluent in English; basic German is a plus

SThree_Germany is acting as an Employment Business in relation to this vacancy.