Software Engineer: MLOps
Tasks
- Deploy and manage ML services and inference pipelines
- Design and build machine learning infrastructure
- Develop automation for experiments and dataset management
- Implement model deployment infrastructure
- Integrate ML components into robotics systems
- Maintain ML pipelines
- Monitor system performance and reliability
- Optimize ML workflows and infrastructure
Perks/Benefits
Skills/Tech-stack
AWS | Containerization | Data Formats | Data Processing | Distributed Computing | Experiment tracking | GPU workload scheduling | Kubernetes | Linux | Model versioning | Python | Robotics data | Robotics data formats | Workload Scheduling
Education
Roles
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