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ML Cloud Engineer

Profile DM Inc

 

Plano, TX, USA

Posted On: 30+ days ago
Experience: 10+ years
Availability: Hybrid
Openings: 1
Category: Cloud Engineer
Tenure: Contract - Corp-to-Corp
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Description

You design, deploy, and optimize cloud-native machine learning systems on AWS.

10+ years of professional experience required. Degree in any graduate field.

Responsibilities

  • Transform data science prototypes into secure, highly available AWS services.
  • Productionize cloud ML pipelines using SageMaker, Step Functions, and EKS.
  • Build and maintain optimized data pipelines using Glue, Kinesis, Athena, and Iceberg.
  • Train, retrain, and monitor models using SageMaker Pipelines and CloudWatch alarms.
  • Extend internal ML libraries and infrastructure-as-code modules.

Required Skills

  • 10+ years of professional software or ML engineering experience.
  • Deep expertise in AWS and MLOps practices.
  • Hands-on experience with SageMaker, Step Functions, and EKS.
  • Proficiency with Bedrock and Anthropic LLM APIs for generative AI.
  • Experience with Glue, Kinesis, Athena, and Iceberg for data pipelines.
  • Ability to use CDK or Terraform for infrastructure-as-code.
  • Experience monitoring systems with CloudWatch.
  • Knowledge of detecting and mitigating data-distribution drift.

Education

Any Gradute

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