Lead Industrial AI & Optimization Engineer
Baker Hughes1 day ago
Houston, TX, USAStaff+
Responsibilities
- Develop 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.
- Apply process engineering, advanced process control, model predictive control, real-time optimization, and process optimization knowledge to develop robust algorithms.
- Evaluate model performance, uncertainty, robustness, maintainability, and scalability in industrial deployment environments.
- Integrate machine learning models with optimization workflows, advanced process control systems, industrial data historians, cloud platforms, and enterprise software architectures.
- Design, train, validate, and deploy models using Python and associated scientific, machine learning, and software development libraries.
- Define and improve machine learning lifecycle practices for data preparation, feature engineering, experiment tracking, model governance, monitoring, and continuous improvement.
- Collaborate with product managers, software engineers, process engineers, data scientists, UX teams, and customer-facing teams to deliver roadmap-aligned capabilities.
Requirements
- 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 feedforward neural networks, RNNs, LSTMs or GRUs, CNNs, transformer models, and sequence modeling approaches.
- Ability to work across process engineering, data science, control systems, software engineering, cloud architecture, and customer-facing product teams.
- Strong analytical thinking, communication, technical documentation, and ability to explain complex modeling concepts to technical and non-technical stakeholders.
- Prior experience in energy, oil and gas, LNG, refining, petrochemicals, power generation, or industrial automation is an advantage.
Benefits
- Remote working is available in the US, with flexible working patterns depending on business needs, role requirements, and local policies.
- Comprehensive private medical care options, life insurance, disability programs, and wellbeing activities.
- Thrift Plan (401k), tailored financial programs, and additional elected or voluntary benefits.
- Education assistance, generous parental leave, mental health resources, and dependent care support.
Tech Stack
Categories
About Baker Hughes
Baker Hughes builds equipment, software, and services for energy and industrial operators, spanning oilfield services, turbomachinery and process solutions, LNG and subsea systems, and emissions and asset management. It generates revenue through product sales, long-term service, and digital offerings. A public company (NASDAQ: BKR) headquartered in Houston, it operates in more than 120 countries and organizes its business into Oilfield Services & Equipment and Industrial & Energy Technology.