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docker python kubernetes tensorflow pytorch📋 Description
Lead ML roadmap for scalable 3D DL/vision platform infra.
Build/lead ML Platform team focused on reliability and lifecycle.
Partner with product/engineering/research to deploy ML innovations.
Oversee end-to-end deployment of computer vision models from 3D data.
Drive SOTA 3D generative AI experiments in ML workflows.
Establish CI/CD for ML models, including versioning and rollback.
🎯 Requirements
Bachelor's in CS/EE/Robotics or related field
5+ years in applied ML; 2+ years in leadership
Deep understanding of ML Platform best practices: CI/CD, deployment, observability, lifecycle management
Strong Python skills; experience with PyTorch, TensorFlow, scikit-learn
Hands-on with model optimization, hyperparameter tuning, evaluation, monitoring
Familiarity with Docker, Kubernetes, Kubeflow, and cloud platforms (AWS, GCP, or Azure); preference for GCP tools (Vertex AI, BigQuery, Dataflow, GKE)
🎁 Benefits
Health, dental, mental health support
Parental planning resources
Retirement savings options
Generous paid time off
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