Senior Machine Learning Engineer
Tasks
- Build ML APIs and applications
- Build reproducible workflows for data and training
- Create CI/CD pipelines
- Design production ML services
- Evaluate MLOps and ML platform technologies
- Implement MLOps experiment tracking
- Implement model observability and drift detection
- Manage model versioning deployment and rollback
- Monitor model performance and data quality
- Package containerize models for inference
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Alerting | Apache Spark | CI/CD | Databricks | Docker | Drift Detection | Experiment tracking | GRPC | Kubernetes | Logging | MLOps | MLflow | Model Drift | Model Drift Detection | Model Monitoring | Model versioning | PyTorch | Python | REST | Scikit-learn | TensorFlow
Education
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