Senior Data/ML Engineer (AWS)
Tasks
- Build batch and real-time data pipelines
- Deploy and operationalize machine learning models with Amazon SageMaker
- Design and implement data lake architectures on AWS
- Develop ETL workflows and data transformations
- Ensure data quality and compliance across pipelines
- Implement data governance and access controls with AWS Lake Formation
- Integrate generative AI with Amazon Bedrock
- Manage metadata with AWS Glue Data Catalog
- Migrate data platforms from Azure to AWS
- Train tune deploy and monitor ML models
Perks/Benefits
- Autonomy and ownership
- Career growth
- Collaborative cross-functional environment
- Exposure to cutting-edge technology
- Flexible work culture
- Remote work
Skills/Tech-stack
AWS | AWS Lambda | AWS Step Functions | Agile | Amazon Athena | Amazon Bedrock | Amazon Glue | Amazon Kinesis | Amazon S3 | Data Governance | Data Migration | Data Modeling | Data Security | ETL | Feature Engineering | Machine Learning | Python | SQL | SageMaker | Step Functions
Education
N/A
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