Lead Machine Learning Engineer (MLOps, KServe + building Kubernetes Clusters, PyTorch, TensorFlow on AWS)
Tasks
- Automate tests and deployment
- Collaborate on ML software development
- Construct optimized data pipelines
- Design build deliver ML models
- Develop and test application code
- Follow responsible and explainable AI best practices
- Govern models for risk and compliance
- Implement CI/CD
- Inform ML infrastructure decisions
- Leverage cloud-based architectures
- Monitor deployments
- Reduce code vulnerabilities
- Retrain maintain and monitor models
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | CI/CD | Dask | Data Pipelines | Hyperparameter Tuning | Java | KServe | Kubernetes | Model Monitoring | PyTorch | Python | Scala | Scikit-learn | Spark | TensorFlow | Test automation
Education
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