Lead AI for Design and Control

Lead AI for Design and Control

Our team provides industry-leading products and services that optimize the production and processing of energy. You will contribute to our future as an AI player in the Energy Transformation industry. We implement and adapt AI algorithms across a broad variety of projects. These include predictive maintenance and defect detection, control and robotics, design optimization and simulation, unmanned inspections and many others. Our team deploys production-ready code in cloud and edge environments to make energy products more efficient, reliable, safe and sustainable.

Responsibilities

• Collaborating with multidisciplinary teams in the definition of new AI‑powered engineering workflows for product optimization and simulation (in terms of performance, manufacturability, controllability)
• Leading technical development of research and development projects on the combination of AI and engineering methodologies
• Developing and integrating software components for AI applications according to customer and technical requirements
• Checking availability and relevance of internal and external data sources
• Proposing, and leading new data collection activities. Cleaning and validating data
• Working closely with AI Product Owners to define project technical goals and requirements
• Collaborating with AI Engineers to define the project software architecture and maintenance/retraining strategy
• Working with Engineering Subject Matter Experts to adapt AI technology to industry needs

Qualifications

• Have experience in defining the technical requirements and expectations of AI solutions for engineering applications
• Have deep understanding of machine learning and AI algorithms for regression, classification and anomaly detection tasks applied to tabular data with uncertainty quantification and explainability requirements
• Have proven experience applying AI algorithms for dynamic data sources (time series) regression, clustering, anomaly detection and uncertainty quantification
• Have experience in combining models with data from different sources and hybrid modelling approaches
• Have experience defining models for 3D/graph data types
• Have proven experience with optimization algorithms (e.g. gradient‑based, model‑based, non‑parametric for parametric and non‑parametric inputs) and active learning
• Have experience with traditional control algorithms, calibration, MPC and RL
• Have experience in software programming languages including Python, C++
• Demonstrate working knowledge of modern agentic framework requirements
• Prove track record of keeping up‑to‑date with industry trends and technology developments in the field of AI applied to engineering
• Demonstrate working knowledge of model deployment techniques and edge serving
• Demonstrate working knowledge of turbomachinery thermodynamics, chemistry, rotor dynamics
• Demonstrate working knowledge in databases, test‑driven development and agile development methods

Benefits

• Occasionally working remotely from home or any other work location
• Working flexible hours – flexing the times when you work in the day to help you fit everything in and work when you are the most productive
• Access to a virtual port; remote role with occasional travel to one of our local virtual ports

The Baker Hughes internal title for this role is: Lead Engineer, Mathematics & Data Science, Disciplinary Engineering and Science.

We want to play a role in the energy transition through the acceleration of digital transformation and the application of intelligent technologies. To make this vision a reality, we need people who are creative, curious and eager to change the world. We are convinced that freedom and diversity in ideas and experiences are the main drivers of innovation.

Baker Hughes Company is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.