Senior ML Ops Engineer (Machine Learning Infrastructure)

Onsite Los Angeles, CA

pythonawsgcpazurepytorch perception

greenhouse

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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.