Senior Lead Machine Learning Engineer
Tasks
- Automate tests and deployments
- Build cloud-based ML architectures
- Collaborate with product and data science teams
- Construct data pipelines for ML models
- Design build and deliver machine learning models and components
- Develop test and deploy ML applications
- Ensure responsible and explainable AI
- Govern ML models for risk compliance
- Inform ML infrastructure decisions
- Lead teams developing ML solutions
- Manage code quality and reduce vulnerabilities
- Retrain, maintain, and monitor models in production
- Train tune and validate machine learning models
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Azure | Bias Variance | Cloud platform | Continuous Deployment | Continuous integration | Dask | Data Engineering | Dimensionality Reduction | Distributed Computing | Google Cloud | Google Cloud Platform | High Availability | Hyperparameter Tuning | Java | Machine Learning | Model Monitoring | Model Training | Model Validation | Performance optimization | PyTorch | Python | Scala | Scikit-learn | Spark | TensorFlow | Test automation
Education
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