Role & Company Overview
📋 Role Overview & Responsibilities
Position: ML-Ops Engineer with Sagemaker Exp. Location: Phoenix, AZ / Johnston, RI (3 days onsite/week)Job Type: Full-time
Job Description:Hands on Expert in Sagemaker & Sagemaker pipelineHands on experience on handling Amazon Bedrock for Generative AI applicationsExcellent knowledge on Ml-flow for Data science code versioning tracking for model repository and integration knowledge with Sagemaker. Hands on experience in DevSecOps Pipeline (Jenkins, Bitbucket, Nexus)Experience with database systems including Postgres, MongoDB, DynamoDBGood knowledge of S3Should be Python development expert. Good knowledge of EMR serverlessGood to have knowledge of IAM roles, Okta (Good to have)Concept of ECR, Docker, Open shift will be added advantage.
Frequently Asked Questions
How do I apply for the ML-Ops Engineer with Sagemaker Exp. position at ApTask? ▼
Click the “Apply for this Position” button on this page to submit your application directly to ApTask without recruitment intermediary fees.
Is this position eligible for remote work or visa sponsorship? ▼
This position is located in Phoenix, AZ with potential relocation and sponsorship assistance depending on candidate qualifications.
Are there any candidate fees on Hirely? ▼
No. Hirely is completely free for candidates. We never charge registration fees or placement fees.
Legitimate employers will never ask you to transfer funds, purchase equipment from unauthorized vendors, or pay application/visa fees. Hirely rigorously monitors listings, but always verify communication is from official corporate email domains.
Learn how to protect yourself against employment fraud