Transform the future with Siemens as a Machine Learning Systems and Infrastructure Developer. Drive innovation in robotics AI with cutting-edge solutions in a hybrid work setting.
In this role, you will build and maintain training infrastructure for robotics AI projects. Your main responsibilities include managing ML settings, automating training pipelines, and ensuring model quality through governance. With a focus on collaboration, you will work alongside senior engineers to facilitate seamless rollout and evaluation processes.
Key Responsibilities:
Provision ML training environments for robotics workloads
Build pipelines for evaluation, fine-tuning, and packaging
Automate scheduling, dependency management, and resource allocation
Define workflows from training to validated runtime candidates
Collaborate with cross-functional teams to ensure deployment readiness
Requirements:
Bachelor's or Master's in related fields
3+ years in ML platforms and production infrastructure
Proficiency in Python and Linux-based systems
Experience with ML frameworks like PyTorch and Kubernetes
Solid troubleshooting skills in automation and infrastructure
Bring your expertise in machine learning infrastructure to Siemens and shape the future of robotics AI.
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