Machine Learning Engineer
Tasks
- Add data lineage tracking
- Automate model training and deployment workflows
- Build machine learning models
- Build scalable machine learning platforms
- Create technical specifications for ML features
- Deploy machine learning models to production
- Develop machine learning pipelines
- Implement fairness compliance privacy controls
- Implement model governance
- Implement model observability
- Integrate ML features into applications
- Optimize machine learning cost efficiency
- Scale machine learning systems
- Set up data protection workflows
- Track model health metrics
- Train machine learning models
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | AWS Glue | Amazon Redshift | Amazon SageMaker | Apache Airflow | Apache Spark | Data Catalog | Data Ingestion | Data Warehousing | Databricks | Feature Engineering | Feature Store | Infrastructure as Code | Kubeflow | MLOps | MLflow | Machine Learning | Model Governance | Model lineage | Python | SageMaker Feature Store | Terraform | “as-code”
Education
N/A
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