Industrial AI & Optimization Lead - Drive Asset Performance

Baker Hughes

Houston (TX)

Remote

USD 150,000 - 230,000

Full time

4 days ago

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Job summary

Baker Hughes is seeking a Lead Industrial AI & Optimization Engineer to advance machine learning, process control, and optimization for industrial assets. You will join the Cordant Process Optimization Product Team and help design, validate, and deploy digital solutions that enhance performance and reliability across energy and industrial sectors.

The role requires a multidisciplinary skillset spanning data-driven modeling, process understanding, and scalable software practices, with remote

Qualifications

Experience building ML models for engineering/industrial processes.
Knowledge of process modeling, dynamic simulation, and real-time optimization.
Strong Python programming and ML library experience.
Ability to work across process engineering, data science, control systems, and software teams.

Responsibilities

Develop ML and hybrid modeling solutions for industrial processes.
Leverage process engineering, advanced process control, and real-time optimization knowledge.
Evaluate model performance, uncertainty, robustness, and scalability in deployment.
Integrate ML models with optimization workflows, control systems, data historians, and cloud platforms.
Design, train, validate, and deploy models using Python and ML libraries.
Define best practices for model lifecycle management, governance, and monitoring.
Collaborate with product, software, and customer-facing teams to align with roadmaps.