Sr. Lead, Machine Learning Engineer (Enterprise Platforms Technology)
Tasks
- Apply responsible and explainable AI best practices
- Build and optimize data pipelines for machine learning
- Deploy and monitor machine learning models in production
- Design build and deliver machine learning models
- Develop and validate machine learning models
- Ensure code security and model governance
- Implement Continuous Integration and Continuous Deployment
- Inform machine learning infrastructure decisions
- Leverage cloud architectures for machine learning at scale
- Retrain, maintain, and monitor models in production
- Write test and automate application code for machine learning
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Application code | Azure | Bias Variance | Bias-Variance Tradeoff | Cloud platform | Continuous Deployment | Continuous integration | Dask | Data Preparation | Data pipeline | Dimensionality Reduction | Distributed Computing | Feature Selection | Google Cloud | Google Cloud Platform | High Availability | Hyperparameter Tuning | Java | Machine Learning | Model Monitoring | Model Training | PyTorch | Python | Scala | Scikit-learn | Spark | TensorFlow | Test automation
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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