Lead Machine Learning Engineer, Card Tech
Tasks
- Automate tests and deployment
- Build cloud-based ML architectures
- Collaborate with product and data science teams
- Construct optimized data pipelines
- Design ML infrastructure decisions
- Design build and deliver machine learning models
- Develop and validate machine learning models
- Follow responsible and explainable AI best practices
- Implement CI/CD and monitoring
- Reduce vulnerabilities and ensure secure model governance
- Retrain, maintain, and monitor models in production
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Azure | Bias Variance | Bias/variance analysis | Cloud platform | Continuous Deployment | Continuous integration | Dask | Data Pipelines | Dimensionality Reduction | Distributed Computing | Explainable AI | Feature Selection | Google Cloud | Google Cloud Platform | Hyperparameter Tuning | Java | Machine Learning | Model Monitoring | Model Training | Model Validation | PyTorch | Python | Responsible AI | Scala | Scikit-learn | Spark | TensorFlow | Test automation | Variance analysis
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Regions
Countries
States
Cities
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