Senior Engineer- Machine Learning

Qualcomm is seeking a Senior MLOps Engineer to join their team in Chennai, India. This role focuses on developing and maintaining their ML platform across both on-premises and AWS Cloud environments. The position requires expertise in working with NVIDIA DGX clusters, Kubernetes, and various cloud technologies. As a Senior Engineer, you'll be responsible for architecting scalable ML infrastructure solutions, implementing CI/CD pipelines, and optimizing platform performance. The role combines deep technical knowledge in ML operations with cloud infrastructure management.

The ideal candidate should have strong programming skills in Python and Go, extensive experience with Kubernetes and related technologies, and proven expertise in managing large-scale ML infrastructure. You'll work closely with data scientists and software engineers to ensure seamless integration of ML workflows. The position offers comprehensive benefits including health coverage, professional development opportunities, and wellbeing programs.

Qualcomm, as a leading technology innovator, provides an environment where you can work alongside industry experts and contribute to cutting-edge technologies. The company's focus on innovation and technological advancement makes this an excellent opportunity for someone looking to make an impact in the ML infrastructure space while working with state-of-the-art tools and technologies.

This role is perfect for candidates who are passionate about MLOps, have a strong technical background, and want to be part of a team that's pushing the boundaries of what's possible in machine learning infrastructure. The position offers growth opportunities through continuous learning programs, mentorship, and exposure to complex technical challenges in a global technology leader.