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parallel

Sep 16

Senior ML Ops Engineer (Machine Learning Infrastructure)

Hybrid · Los Angeles, CA

pythonawsgcpazurepytorch perception

greenhouse

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AI TL;DR

You will design and develop scalable ML infrastructure for autonomous battery-electric rail vehicles in Los Angeles. This role involves collaborating with engineers to enhance ML pipelines and systems.

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Job description

You will design and develop scalable ML infrastructure for autonomous battery-electric rail vehicles in Los Angeles. This role involves collaborating with engineers to enhance ML pipelines and systems.

Details

  • Los Angeles, CA, onsite
  • $150,000—$250,000 USD
  • 5+ years of experience, 2+ years in ML infrastructure or MLOps
  • Skills: Python, AWS, GCP, Azure, PyTorch

The work

  • Design and implement MLOps solutions for data management and model deployment.
  • Architect and manage scalable ML infrastructure for training and inference.
  • Collaborate with ML engineers to develop strategies for model development.
  • Build cloud-based systems optimized for ML workloads.