Senior MLOps Engineer - DSX Enablement

About the role

India, Bengaluru; India, Hyderabad; India, Pune

What you'll do

• In this role, you will develop innovative solutions that advance AI infrastructure capabilities, advise infrastructure experts on the demands of ML workloads
• Act as a primary technical contact for internal and external customers and partners, guiding joint engagements, ensuring the success of initiatives on DGX Cloud
• Work closely with the teams building the infrastructure software and accelerated frameworks that support today’s most compelling AI applications
• Profile and tune large-scale training and inference workloads on NCP platforms, leading efforts to reduce latency, cost, and operational risk, and
• Develop open-source tools and reference architectures to make it easier to build and manage machine learning and AI workloads, pipelines, and systems at scale

What you need

• 8–14 years in data science & ai
• MLOps
• Machine learning
• Python
• LLMs
• Deep learning
• Operational risk
• PhD

Good to have

• CI/CD
• C++
• Linux
• Kubernetes
• Bash
• Go

What you get