Tech Lead - AWS Job
Tasks
- Apply IAM security controls
- Automate MLOps CI CD
- Build data lake pipelines
- Build generative AI applications on Bedrock
- Create SageMaker pipelines
- Deploy and monitor ML workflows
- Develop Visual ETL jobs
- Develop, train, and evaluate ML models
- Implement data lineage and data quality
- Implement knowledge bases and guardrails
- Integrate data sources
- Manage SageMaker experiments and versions
- Optimize ML compute cost and performance
- Troubleshoot notebook and job issues
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Glue | AWS Lake Formation | AWS RDS | Amazon Athena | Amazon Bedrock | Amazon DataZone | Amazon EMR | Amazon Q | Amazon Q Developer | Amazon Redshift | Amazon S3 | Amazon SageMaker | CI/CD | Data Governance | IAM | Lake Formation | MLOps | PySpark | PyTorch | Python | Q developer) | SQL | SageMaker Unified Studio | Scikit-learn | TensorFlow
Education
N/A
Roles
Data Engineer | Engineer | Lead | Learning Engineer | Machine Learning Engineer | Tech Lead
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