Sr. Software Development Engineer, MLOPs
Tasks
- Architect large scale data pipelines for robotics datasets
- Build CI/CD pipelines for ML models
- Design scalable ML training infrastructure on Kubernetes
- Develop experiment tracking tooling
- Develop hyperparameter optimization tooling
- Ensure reproducibility for ML workflows
- Establish monitoring, alerting, and observability
- Implement fault tolerant distributed training
- Manage GPU fleet and optimize cost
- Operationalize ML models into production
Perks/Benefits
- N/A
Skills/Tech-stack
Alerting | Amazon EKS | CI/CD | Checkpointing | Data Ingestion | Data Pipelines | Distributed Systems | Experiment tracking | Fault-tolerant | Fault-tolerant systems | GPU scheduling | Hyperparameter Optimization | Kubernetes | MLOps | Machine Learning | Model Deployment | Monitoring | Observability | Reproducibility
Education
N/A
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