Senior Data/ML Engineer (AWS)
Tasks
- Build batch and real-time data pipelines
- Collaborate with cross-functional teams to ensure data quality
- Deploy and operationalize machine learning models on SageMaker
- Design data lake architectures on AWS
- Develop ETL workflows and data transformations
- Implement data governance, security, and access controls
- Integrate generative AI capabilities with Amazon Bedrock
- Manage data metadata with AWS Glue Data Catalog
- Migrate data platforms from Azure to AWS
- Train tune and monitor ML models
Perks/Benefits
Skills/Tech-stack
AWS | AWS Athena | AWS Glue | AWS Lambda | AWS Step Functions | Amazon Bedrock | Amazon Kinesis | Amazon S3 | Amazon SageMaker | Azure | Data Engineering | Data Governance | Data Modeling | Data Quality | ETL | Feature Engineering | Machine Learning | Python | SQL | Step Functions
Education
N/A
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