Job Title: AWS AI/ML Platform Engineer (SageMaker Bedrock Agentic AI Data Pipelines & MLOps)
Location: Brooklyn NY onsite
We are currently seeking candidates who meet the following qualification
Qualifications
- Monitor and analyze database and system performance using AWS CloudWatch metrics alarms and logs proactively identifying and resolving performance and availability issues.
- Design develop deploy and optimize AI/ML solutions leveraging AWS AI services such as Amazon SageMaker and Amazon Bedrock supporting model training inference and production integration.
- Automate operational and infrastructure management tasks using AWS Lambda AWS Systems Manager (SSM) and Infrastructure-as-Code (IaC) tools including AWS CloudFormation and Terraform.
- Architect build and maintain scalable highly available and fault-tolerant data processing and analytics solutions on AWS using services such as API Gateway Amazon S3 EC2 RDS Lambda Glue Athena DynamoDB EMR Kinesis and DataSync.
- Design and integrate agentic AI solutions including LLM-based agents multi-agent workflows and autonomous orchestration pipelines using frameworks such as LangChain and LangGraph.
- Develop and maintain ETL/ELT pipelines and data architectures that support machine learning advanced analytics and intelligent agent-driven applications.
- Support CI/CD pipelines for AI models and data workflows using tools such as Jenkins and container orchestration platforms including Amazon ECS Amazon EKS and Kubernetes.
- Implement security best practices across AI and data platforms including IAM least-privilege access encryption at rest and in transit audit logging and regulatory compliance controls.
- Produce and maintain comprehensive technical documentation covering AI architectures data pipelines infrastructure configurations and operational runbooks.
If you meet these qualifications please submit your application via link provided in Linkedin
Kindly do not call the general line to submit your application.
Job Title: AWS AI/ML Platform Engineer (SageMaker Bedrock Agentic AI Data Pipelines & MLOps) Location: Brooklyn NY onsite We are currently seeking candidates who meet the following qualification Qualifications Monitor and analyze database and system performance using AWS CloudWatch metrics alarms ...
Job Title: AWS AI/ML Platform Engineer (SageMaker Bedrock Agentic AI Data Pipelines & MLOps)
Location: Brooklyn NY onsite
We are currently seeking candidates who meet the following qualification
Qualifications
- Monitor and analyze database and system performance using AWS CloudWatch metrics alarms and logs proactively identifying and resolving performance and availability issues.
- Design develop deploy and optimize AI/ML solutions leveraging AWS AI services such as Amazon SageMaker and Amazon Bedrock supporting model training inference and production integration.
- Automate operational and infrastructure management tasks using AWS Lambda AWS Systems Manager (SSM) and Infrastructure-as-Code (IaC) tools including AWS CloudFormation and Terraform.
- Architect build and maintain scalable highly available and fault-tolerant data processing and analytics solutions on AWS using services such as API Gateway Amazon S3 EC2 RDS Lambda Glue Athena DynamoDB EMR Kinesis and DataSync.
- Design and integrate agentic AI solutions including LLM-based agents multi-agent workflows and autonomous orchestration pipelines using frameworks such as LangChain and LangGraph.
- Develop and maintain ETL/ELT pipelines and data architectures that support machine learning advanced analytics and intelligent agent-driven applications.
- Support CI/CD pipelines for AI models and data workflows using tools such as Jenkins and container orchestration platforms including Amazon ECS Amazon EKS and Kubernetes.
- Implement security best practices across AI and data platforms including IAM least-privilege access encryption at rest and in transit audit logging and regulatory compliance controls.
- Produce and maintain comprehensive technical documentation covering AI architectures data pipelines infrastructure configurations and operational runbooks.
If you meet these qualifications please submit your application via link provided in Linkedin
Kindly do not call the general line to submit your application.
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