
Senior Cloud Machine Learning Engineer
4 days ago
Job Opportunity:
We are seeking a highly skilled and passionate engineer to design, develop, and maintain cutting-edge build and test environments for critical GenAI workloads running on foundational cloud infrastructure.
The ideal candidate will collaborate with architects to design and implement highly robust and scalable systems while providing crucial development support to SRE/Operations teams as they tackle complex distributed systems challenges at scale.
The key responsibilities of this role include designing state-of-the-art GPU compute clusters, comprehensive automated testing strategies, robust performance testing frameworks, monitoring solutions with alerting systems, specialized test frameworks for security controls, and architecting a scalable automation infrastructure.
- Designing and implementing production-scale platforms within the GenAI or ML domain.
- Developing and maintaining cutting-edge build and test environments for critical GenAI workloads.
- Collaborating with architects to design and implement highly robust and scalable systems.
- Providing crucial development support to SRE/Operations teams as they tackle complex distributed systems challenges at scale.
Key Requirements:
- Over 6-8 years of experience working with developing ML Infrastructure.
- Over 3 years of hands-on experience in large-scale direct experience building and deploying production-ready services on Kubernetes.
- A proven history of engaging with and contributing to open-source projects.
- A collaborative spirit, demonstrated by prior work developing scalable software solutions for cloud services.
- Proficiency in programming with Python and Bash scripting.
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