Senior Lead Machine Learning Engineer
Tasks
- Automate testing and deployment
- Build cloud-based ML architectures
- Collaborate with product and data science teams
- Communicate technical concepts to stakeholders
- Construct data pipelines for ML models
- Design build and deliver ML models for business problems
- Develop and validate ML models
- Ensure code security and reduce vulnerabilities
- Ensure model explainability
- Govern models for responsible AI
- Implement Continuous Integration and Continuous Deployment
- Inform ML infrastructure decisions
- Monitor ML deployments
- Retrain, maintain, and monitor models in production
- Train tune validate ML models
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Apache Spark | Bias Variance | Big Data | Cloud Architecture | Cloud platform | Continuous Deployment | Continuous integration | Dask | Data Pipelines | Dimensionality Reduction | Distributed Computing | Google Cloud | Google Cloud Platform | Hyperparameter Tuning | Java | Kubeflow | Machine Learning | Microsoft Azure | Model Monitoring | Model Training | Model Validation | Performance Engineering | PyTorch | Python | Responsible AI | Scala | Scikit-learn | TensorFlow | Test automation
Education
Regions
Countries
States
Cities
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