Lead Industrial AI & Optimization Engineer

Baker Hughes • Houston, TX

1d • Remote

About The Position

Join our Cordant Process Optimization Product Team at Baker Hughes, where we develop and deploy advanced technologies to serve energy and industrial companies. Our Cordant product portfolio integrates industrial domain expertise, software engineering, advanced analytics, and optimization technologies to enhance asset performance and operational decision-making. This role involves contributing to the design, development, validation, and deployment of digital solutions that combine machine learning, process engineering, control systems, and scalable software practices. The position requires a multidisciplinary skillset including data-driven modeling, industrial process understanding, product-quality software development, and cross-functional collaboration.

Requirements

• A Bachelor’s or Master’s degree (in Chemical Engineering, Process Systems Engineering, Control Engineering, Industrial Engineering, Computer Science, Data Science, Applied Mathematics, or a related technical discipline)
• Experience developing machine learning models for engineering, industrial, time-series, or process systems applications
• Knowledge of process modeling, dynamic simulation, advanced process control, model predictive control, real-time optimization, or process optimization methods
• Strong Python programming skills and experience with common scientific and machine learning libraries
• Practical experience with neural network architectures, including feedforward neural networks, RNNs, LSTMs or GRUs, CNNs, transformer models, and sequence modeling approaches
• Ability to comfortably work across disciplines, including process engineering, data science, control systems, software engineering, cloud architecture, and customer-facing product teams
• Demonstrated strong analytical thinking, communication skills, technical documentation discipline, and ability to explain complex modeling concepts to technical and non-technical stakeholders
• Valid work authorization in the country of employment

Nice To Haves

• Prior experience in energy, oil and gas, LNG, refining, petrochemicals, power generation, or industrial automation applications

Responsibilities

• Developing machine learning and hybrid modeling solutions for industrial process applications, including neural networks, recurrent neural networks, convolutional neural networks, transformer-based architectures, and time-series models
• Utilizing industrial process engineering, advanced process control, and real-time optimization domain knowledge to develop robust machine learning algorithms
• Evaluating model performance, uncertainty, robustness, maintainability, and scalability in industrial deployment environments
• Supporting integration of machine learning models with optimization workflows, advanced process control systems, industrial data historians, cloud platforms, and enterprise software architectures
• Designing, training, validating, and deploying models using Python and associated scientific, machine learning, and software development libraries
• Helping define best practices for machine learning model lifecycle management, including data preparation, feature engineering, experiment tracking, model governance, monitoring, and continuous improvement
• Collaborating with product managers, software engineers, process engineers, data scientists, UX teams, and customer-facing teams to deliver features aligned with product roadmaps and customer needs

Benefits

• Flexible working opportunities
• Contemporary work-life balance policies and wellbeing activities
• Comprehensive private medical care options
• Safety net of life insurance and disability programs
• Tailored financial programs
• Education assistance
• Generous parental leave
• Mental health resources
• Dependent care support
• Additional elected or voluntary benefits
• Company-sponsored benefit programs, including health & welfare programs and the Thrift Plan (401k)
• Choice of coverage options that best suit your needs
• Eligibility for additional forms of compensation such as bonuses

What This Job Offers

• Job Type: Full-time
• Career Level: Senior