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AWS SageMaker Platform Architect

The HіrеxрrеѕѕPlano, TX🇺🇸United StatesPosted 3 Sept 2026

Why This Role Stands Out

This role offers a fantastic opportunity to architect and deploy cutting-edge ML solutions on AWS, significantly impacting the company's innovative projects. You'll thrive here if you possess deep expertise in AWS SageMaker and ML engineering, eager to build and manage scalable AI platforms. Apply now to leverage your skills and advance your career in a dynamic environment.

Quick Overview

Seniority
Mid Senior
Work mode
On Site
Location
Plano, TX, United States
Posted
6 days ago
AWSMLOpsMachine LearningScikit-learnPyTorchPythonTensorFlow

Job Description

Role: AWS SageMaker Platform Architect

Location: Plano, TX | 100% Onsite
Contract roles

Job Description

Looking for an experienced AWS SageMaker Platform Developer with strong Machine Learning Engineering skills to build, deploy, and manage scalable ML solutions on AWS.

 

Key Requirements

  • 7+ years of experience in Machine Learning / ML Engineering.
  • Strong hands-on experience with AWS SageMaker and the AWS ML ecosystem.
  • Expertise in developing, training, deploying, and monitoring ML models.
  • Strong Python programming and experience with PyTorch, TensorFlow, or Scikit-learn.
  • Experience building ML pipelines, MLOps, CI/CD, model monitoring, and automation.
  • Strong knowledge of AWS services such as S3, Lambda, ECR, ECS/EKS, CloudWatch, and IAM.
  • Experience with data preprocessing, feature engineering, model optimization, and production deployment.
  • Strong understanding of ML lifecycle and enterprise-scale ML platforms.

 

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