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Siemens Mobility

Kitchener / Global

Machine Learning Infrastructure Developer at Siemens

  • Hybrid

Job Description

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 environment.

In this role, you will build and maintain training infrastructure for robotics AI projects. Your main responsibilities include managing ML environments, 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

• Strong 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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