Senior Data/ML Engineer (AWS)
Tasks
- Build batch and real-time data pipelines
- Deploy ML services for prediction scoring and segmentation
- Design data lake architectures on AWS
- Develop ETL workflows and data transformations
- Ensure data quality and maintain technical documentation
- Implement data governance, security, and access controls
- Integrate generative AI workflows with Amazon Bedrock
- Manage metadata with AWS Glue Data Catalog
- Migrate data from Azure to AWS
- Train tune deploy and monitor machine learning models
Perks/Benefits
Skills/Tech-stack
AWS Glue | AWS Kinesis | AWS Lambda | AWS Step Functions | Access Control | Agile | Amazon Athena | Amazon Bedrock | Amazon S3 | Amazon SageMaker | Data Engineering | Data Governance | Data Modeling | Data Processing | Data Security | ETL | Feature Engineering | Machine Learning | Python | Real Time | Real-time Data | Real-time Data Processing | SQL | Step Functions
Education
N/A
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