Sr. Lead Machine Learning Engineer
Tasks
- Automate testing and deployment
- Build and optimize data pipelines
- Collaborate on Agile cross functional teams
- Design ML architecture for scalability
- Design ML models for business problems
- Develop ML model and application code
- Ensure high availability and performance
- Implement responsible and explainable AI
- Monitor models in production
- Perform hyperparameter tuning
- Reduce vulnerabilities and ensure governance
- Retrain and maintain production models
- Validate and train ML models
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Apache Spark | Azure | Bias Variance | Cloud platform | Continuous Deployment | Continuous integration | Dask | Data Pipelines | Dimensionality Reduction | Distributed Computing | Explainable AI | Feature Engineering | Google Cloud | Google Cloud Platform | Hyperparameter Tuning | Java | Kubeflow | Machine Learning | Model Monitoring | Model Training | Model Validation | PyTorch | Python | Responsible AI | Scala | Scikit-learn | TensorFlow | Test automation
Education
Regions
Countries
States
Cities
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