13+ ONLY - AWS Data Engineer : New York City, NY (Local Candidates ONLY) at New York City, New York, USA |
Email: [email protected] |
Hi Hope you are doing well, We have the below requirement open. Please send me your candidates updated Resume to [email protected] Role: AWS Data Engineer with MLOps and GenAI Location: New York City, NY (Local Candidates ONLY) NOTE : Need local to NY Candidates ONLY with DL / State ID NOTE : Need Passport number and LinkedIn ID and please do mention Current Location and Visa of candidate while sending the Profile Job Roles / Responsibilities: Mandatory Skills: Skill Set Expert in AWS Services AWS SageMaker , AWS Bedrock, AWS EC2, AWS CloudFormation, AWS S3 , AWS CloudWatch Strong working experience in Cloud Formation and Terraform for Infrastructure automation Expertise in designing data pipelines using Python and Apache Airflow Proficient in Python Programming Strong Skills in API Development (Flask , Fast API etc.) Expertise in writing reusable, Modular code for Data Engineering and machine learing Task Knowledge of MLOps practice and tools such as AWS Sagemaker pipeline and MLFlow Experience in Containerization using Docker and EKS Excellent communication skills for explaining technical details to cross functional teams Roles and responsibility Design and Develop scalable/ reusable Model execution component using AWS Services Streamline production deployment of various cloud components using Cloud Formation and Terraform integrated with the existing CI/CD pipelines Design, Develop and Integrate the Observability components for Cloud based GenAI application Participate in team wide application architecture reviews to present design and solutions Thanks and Regards, Ramya Sri https://www.linkedin.com/in/ramya-sri-66152a23b/ Email: [email protected] Web: www.canopyone.com -- Keywords: continuous integration continuous deployment sthree information technology Idaho New York 13+ ONLY - AWS Data Engineer : New York City, NY (Local Candidates ONLY) [email protected] |
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Fri Sep 27 19:29:00 UTC 2024 |