Opportunity Description
Key Responsibilities:
- Monitor database and system performance using CloudWatch metrics, alarms, and logs; troubleshoot proactively.
- Develop, deploy, and optimize AI/ML solutions using AWS services like SageMaker and Bedrock for model training, inference, and production integration.
- Automate tasks using AWS Lambda, Systems Manager (SSM), and IaC tools such as CloudFormation or Terraform.
- Design scalable data processing workflows with AWS services including API Gateway, S3, EC2, RDS, Glue, Athena, DynamoDB, EMR, Kinesis, DataSync.
- Integrate agentic AI systems, LLM-based agents, multi-agent workflows using LangChain and LangGraph.
- Implement ETL/ELT pipelines supporting ML, analytics, and agent-based applications.
- Support CI/CD for AI models and data workflows using Jenkins, ECS, EKS, or Kubernetes.
- Apply security best practices: IAM least-privilege, e...
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