Senior Lead Machine Learning Engineer
Tasks
- Automate tests and deployment
- Build and optimize data pipelines
- Collaborate with product and data science teams
- Design ML models and components
- Design cloud-based ML architectures
- Develop ML applications code
- Ensure high availability and performance
- Manage code governance and security for ML
- Perform model training and hyperparameter tuning
- Retrain, maintain, and monitor models in production
- Validate ML models
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Azure | Bias Variance | Cloud Architecture | Cloud platform | Continuous Deployment | Continuous integration | Dask | Data Pipelines | Dimensionality Reduction | Distributed Computing | Google Cloud | Google Cloud Platform | Hyperparameter Tuning | Java | Machine Learning | Model Monitoring | Model Training | Model Validation | PyTorch | Python | Scala | Scikit-learn | Spark | TensorFlow | Test automation
Education
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