ML Systems Developer

1 day ago

Ajmer, Rajasthan, India beBeePlatform Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Job Summary:

Leverage expertise in production-scale platforms to deliver innovative solutions as a Platform Architect and Engineer.

  • Designing state-of-the-art GPU compute clusters for critical workloads.
  • Implementing comprehensive automated testing strategies across unit, integration, API, and end-to-end levels.
  • Developing robust performance testing frameworks to validate platform scalability and identify optimization opportunities.
  • Planning of comprehensive monitoring solutions with alerting systems to track platform health and ensure compliance.
  • Designing specialized test frameworks for security controls and ensuring compliance validation.
  • Architecting scalable automation infrastructure to support growing platform capabilities.
  • Troubleshooting system failures, diagnosing root causes, and isolating components and failure scenarios.
  • Optimizing cluster operations for maximum reliability, efficiency, and performance.
Requirements:
  • Over 6-8 years of experience working with ML Infrastructure.
  • Hands-on experience building and deploying production-ready services on Kubernetes.
  • Proven history engaging with and contributing to open-source projects.
  • Collaborative spirit demonstrated by prior work developing scalable software solutions.
  • Ability to effectively communicate complex technical designs and quality approaches.
  • Deep understanding of GPU computing and AI infrastructure.
  • Strong passion for solving complex technical challenges and optimizing system performance.
  • Working knowledge of cluster configuration management tools and infrastructure-level applications.
  • Proficiency in programming with Python and Bash scripting.

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