Machine Learning Engineer, Predictive Maintenance
MaintainXFull Time
Junior (1 to 2 years)
Key technologies and capabilities for this role
Common questions about this position
This information is not specified in the job description.
This information is not specified in the job description.
Candidates need a Mechanical/Aeronautical Engineering degree or related experience, knowledge of statistical methods, Gas Turbine or Oil & Gas equipment design experience, knowledge of Gas Turbine and Turbo Compressors design and maintenance, and strong technical and project skills.
The role involves being part of a successful team in the Industry & Energy Technology group, partnering with teams like Part Improvement Team, GE Vernova, BH Digital Teams, and Shell Global Solutions to optimize energy extraction and extend maintenance intervals.
A strong candidate will have a Mechanical/Aeronautical Engineering degree, experience with Gas Turbine design and maintenance, knowledge of statistical and reliability methods, and the ability to assess risks and support predictive maintenance programs.
Energy technology solutions for oil and gas
Baker Hughes provides a wide range of services and products aimed at improving the performance and sustainability of businesses in the oil and gas industry. Their offerings include advanced technology solutions, consultancy services, and training programs that help clients optimize operations, enhance safety, and minimize environmental impact. The company focuses on machine asset management and health monitoring solutions, and their training services combine e-learning with classroom instruction to boost workforce competency. Unlike many competitors, Baker Hughes integrates sustainability into its core business model, emphasizing environmental, social, and governance principles. Their goal is to lead the transition to cleaner energy by reducing their carbon footprint and promoting diversity and inclusion within their workforce.