ML Infrastructure Engineer
Tasks
- Architect cloud and on prem ml infrastructure
- Deliver projects end-to-end
- Design requirements for model deployment
- Develop cloud data infrastructure
- Evaluate and implement model deployment for test and production vehicles
- Manage data pipelines for ingestion storage training evaluation
- Mentor engineers
- Optimize model training using improved data formats
- Support machine learning model training and deployment
- Transition models from research to production
Perks/Benefits
- N/A
Skills/Tech-stack
Airflow | Amazon SageMaker | Argo | C++ | Cloud platform | Databricks | Dataproc | Google Cloud | Google Cloud Platform | Google Vertex | Google Vertex AI | Jetson | Kubernetes | MLOps | Machine Learning | Model Monitoring | Node.js | ONNX | Python | ROS | Robotics | Spark | TensorRT | Terraform | Vertex AI
Education
N/A
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