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.
Machine Learning Infrastructure Developer at Siemens in Kitchener employer: Siemens AG
Siemens Digital Industries Software is an exceptional employer that fosters a dynamic and inclusive work culture, offering flexible hybrid work arrangements that empower employees to balance their professional and personal lives. With a strong emphasis on employee growth, you will have access to continuous learning opportunities and the chance to mentor junior consultants, all while collaborating with diverse teams to drive strategic solutions for our clients. Join us in a role where your expertise in engineering and product development can make a meaningful impact in a supportive environment.
