Machine Learning Engineer
Tasks
- Assess ML and data science risks and mitigations
- Build ML Ops frameworks
- Define machine learning projects end to end
- Deploy models
- Design model governance philosophies
- Develop ML strategy blueprints
- Engineer features and models
- Ensure compliance with policies and standards
- Evaluate models
- Implement ML standards
- Monitor and maintain models
- Perform Cloud AI maturity assessments
- Prepare data
- Recommend infrastructure improvements
- Support fairness transparency interpretability accountability
- Translate business requirements to solutions
Perks/Benefits
- N/A
Skills/Tech-stack
API Design | AWS | Amazon SageMaker | Azure | Azure Machine Learning | CI/CD | Cloud Computing | Cloud platform | Deep learning | Google Cloud | Google Cloud Platform | MLOps | Machine Learning | Machine Learning Pipelines | Model Deployment | Model Monitoring | PyTorch | Python | TensorFlow | Testing | Transformers | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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