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← DevRev

Senior Member of Technical Staff: ML Systems and Infrastructure

DevRev
Location
Bangalore, India
Posted
17 days ago
Department
Engineering
What they actually want (must-haves)
  • 5+ years in infrastructure or software engineering
  • 2+ years focused on MLOps or ML infrastructure for large-scale distributed systems
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
  • Deep hands-on expertise with Kubernetes in production
  • Fluency in the cloud-native ecosystem, including Helm, ArgoCD, and Argo Workflows
  • Experience optimizing platform performance and scalability considering GPU resource utilization
Nice to have
  • Deep performance optimization skills, including writing custom inference kernels in CUDA or Triton
  • Experience with model optimization techniques like quantization, distillation, and speculative decoding
  • Exposure to training and serving multi-modal models
  • Knowledge of AI safety and evaluation frameworks for monitoring model performance
What the job really is

In this role, you will design and build the infrastructure that supports the lifecycle of machine learning models at DevRev. You will optimize and implement inference stacks for large language models, collaborate with AI research teams to enhance their workflows, and automate CI/CD pipelines for model management. Your work will focus on ensuring high performance and scalability of AI systems while providing a seamless developer experience.

Things to weigh
  • No salary listed
  • Background verification process required for hiring
  • Role heavily focused on MLOps and infrastructure, which may not appeal to all candidates
Job score3/5
Benefits1/5
Freshness4/5
Career value5/5
Role clarity5/5
Pay transparency0/5

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