MTS - AI / MLOps
Pure Storageabout 3 hours ago
Responsibilities
- Lead the development of end-to-end MLOps workflows using CI/CD tools and orchestration platforms.
- Create validated, repeatable deployment models for AI/ML environments using Infrastructure as Code.
- Architect and implement solutions for high-throughput, low-latency model serving.
- Develop automated MLOps lab environments and high-quality technical documentation.
- Collaborate with Data Scientists and Product Management to influence technical strategy.
Requirements
- Hands-on experience designing and automating MLOps workflows using orchestration tools.
- Expert-level skills in Python for Data Science and MLOps, including experience with Deep Learning frameworks.
- Strong knowledge of GPU computing principles and container orchestration with Kubernetes.
- Solid understanding of high-performance data center infrastructure and storage platforms.
Benefits
- Flexible time off and wellness resources.
- Company-sponsored team events.
- Recognition as a top workplace in technology and the Bay Area.