WTI CRUDE

$91.26

▼ -1.73%

AS OF Oct 2, 9:00 PM

NATURAL GAS

$3.04

▲ +2.43%

AS OF Oct 2, 9:00 PM

ERCOT LOAD

62.9 GW

▼ -0.6 GW

AS OF Oct 2, 9:00 PM

LNG EXPORTS

519 Bcf/mo

• -0.3%

AS OF Oct 2, 11:31 AM

TEXAS RIG COUNT

281

▼ -2

AS OF Sep 24, 7:00 PM

Friday

Oct 2, 2026

Job Detail

Baker Hughes

AI/ML Engineer

Company
Baker Hughes
Location
Houston, TX
Type
Full-time
Placement
Active Demand
Signal
Hiring Surge
Published
Oct 2, 2026
Expires
Nov 1, 2026
Updated
Oct 2, 7:00 PM CDT

AI/ML Engineer Partnering with the best Baker Hughes is a global energy technology company serving customers in more than 120 countries. We design, manufacture, and deliver industry-leading solutions that support energy extraction, production, and processing. Our commitment to innovation and operational excellence drives safer, cleaner, and more efficient energy solutions worldwide. Fueling Your Passion The Data, Analytics & AI team develops innovative data-driven products and AI solutions that power the Cordant suite of digital products. The AI/ML Engineer will work across data engineering, analytics, machine learning, and Agentic AI technologies to create scalable solutions that enable predictive maintenance, operational optimization, intelligent search, and AI-powered assistants. This role combines advanced analytics, Generative AI, and modern software engineering practices to help deliver the next generation of industrial intelligence solutions. As an AI/ML Engineer your role will be to help build scalable data and AI solutions that enable predictive analytics, equipment intelligence, operational optimization, intelligent search, and AI-powered assistants. This role combines traditional machine learning, data engineering, Generative AI, and emerging agentic AI technologies to accelerate business value for industrial customers. As an AI/ML Engineer, you will be responsible for: Develop AI, machine learning, and analytics solutions for the Cordant product suite. Design scalable data pipelines and AI workflows using structured and unstructured data. Develop Generative AI and Agentic AI applications, including copilots, assistants, and intelligent search. Implement RAG, agent orchestration, prompt engineering, and LLM evaluation frameworks. Deploy, monitor, and optimize AI/ML solutions using MLOps and LLMOps best practices. Collaborate with product teams, domain experts, and software engineers to deliver customer value. Ensure solutions are secure, scalable, governe

Field services demand tied to active drilling

This opportunity is positioned for professionals who understand execution pressure, industrial operating rhythm, and Houston's energy capital stack.

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