Senior Data/ML Engineer (AWS)
Tasks
- Build ML prediction and scoring services
- Build batch data pipelines
- Build real-time data pipelines
- Deploy and monitor machine learning models on SageMaker
- Design data lake architectures on AWS
- Develop ETL workflows and data transformations
- Ensure data quality and documentation
- Implement data governance and access controls with Lake Formation
- Implement generative AI workflows with Bedrock
- Integrate multi-source datasets
- Manage data metadata with Glue Data Catalog
- Migrate data platforms from Azure to AWS
Perks/Benefits
- Autonomy and ownership
- Career growth
- Collaborative cross-functional environment
- Flexible work culture
- Fully remote
Skills/Tech-stack
AWS | AWS Athena | AWS Glue | AWS Lambda | AWS Step Functions | Agile | Amazon Bedrock | Amazon Kinesis | Amazon S3 | Amazon SageMaker | Data Governance | Data Lake | Data Modeling | Data Security | ETL | Feature Engineering | Generative AI | Machine Learning | Python | SQL | Step Functions
Education
N/A
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