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Machine Learning Engineer – AWS SageMaker / MLOps

ClifyXHouston, TX🇺🇸United StatesPosted Oct 15, 2026

Why This Role Stands Out

This hybrid role offers a fantastic opportunity to build and deploy machine learning models using AWS SageMaker within the dynamic Oil and Gas industry, fostering significant career growth. You'll thrive here if you have experience in MLOps and model development, and are eager to contribute to innovative projects. Apply now to leverage your skills and make a real impact.

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Houston, TX, United States
Posted
18 hours ago
AWSMLOpsMachine Learning

Job Description

Position Title: Machine Learning Engineer – AWS SageMaker / MLOps

Location: Houston, TX-Hybrid

Contract Duration: Long term contract

Visa: /Only

Domain (Industry)         

Oil and Gas

Job Description:

With classical machine learning experience. The individual is required to build machine  learning models using AWS Sage maker. The project also requires hosting the models and  setting up monitoring/telemetry using PrometheGrafana or any equivalent tool.

“Looking for experienced ML Engineers with expertise in MLOps, ML model development, and AWS SageMaker”

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