Lead Machine Learning Engineer (Enterprise Platforms Technology)
Tasks
- Apply responsible and explainable AI best practices
- Automate tests and deployment
- Build data pipelines for ML
- Collaborate on agile software development
- Design ML infrastructure decisions
- Design ML models for business problems
- Develop ML application code
- Ensure high availability and performance
- Leverage cloud architectures for ML at scale
- Maintain and retrain production models
- Monitor models in production
- Perform model training and hyperparameter tuning
- Review model and application code
- Validate and assess model performance
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Apache Spark | Bias Variance | Cloud platform | Continuous Deployment | Continuous integration | Dask | Data Pipelines | Deep learning | Dimensionality Reduction | Feature Engineering | Google Cloud | Google Cloud Platform | Hyperparameter Tuning | Java | Machine Learning | Microsoft Azure | Model Training | Model Validation | Monitoring | PyTorch | Python | Scala | Scikit-learn | TensorFlow | Test automation
Education
Regions
Countries
States
Cities
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