Senior Lead Machine Learning Engineer
Tasks
- Apply responsible and explainable AI best practices
- Automate testing and deployment
- Build cloud-based ML architectures
- Collaborate with product and data science teams
- Construct data pipelines for ML models
- Design build and deliver ML models components
- Develop and test application code
- Ensure code quality and security
- Implement Continuous Integration and Continuous Deployment
- Inform ML infrastructure decisions
- Retrain, maintain, and monitor models in production
- Train tune and validate machine learning models
Perks/Benefits
Skills/Tech-stack
AWS | Apache Spark | Bias Variance | Cloud Computing | Cloud platform | Continuous Deployment | Continuous integration | Dask | Data Engineering | Data Pipelines | Dimensionality Reduction | Distributed Computing | Feature Selection | 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
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