MLOps Engineer
Bengaluru, Karnataka, India
INR 3000K-3500K (estimate) Senior-level Full Time
Tasks
- Architect model serving infrastructure
- Automate ML lifecycle
- Design ML pipelines
- Implement continuous training pipelines
- Maintain feature store
- Manage model training and deployment
- Monitor ML assets and model drift
- Optimize GPU CPU cluster resources and costs
- Refactor code into production components
- Track feature skew and prediction latency
- Troubleshoot distributed ML infrastructure issues
Perks/Benefits
- N/A
Skills/Tech-stack
Airflow | Amazon SageMaker | CI/CD | Databricks | Docker | Kubeflow | Kubernetes | MLflow | Machine Learning | PySpark | PyTorch | Python | SQL | Scikit-learn | Spark | TensorFlow
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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