Lead AI Specialist for Engineering and Controls
Lead AI Specialist for Engineering and Controls
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Job Description
Would you like to experience Industrial Artificial Intelligence (AI) at its best
Are you passionate about being part of a successful team
Join our Artificial Intelligence Team
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.
Partner with the best
Our team deploys production-ready code in Cloud and Edge environments to make energy products more efficient reliable safe and sustainable.
As a Lead AI Specialist for Engineering and Controls you will be responsible for:
- 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 with AI Product Owners to define project technical goals and requirements AI Engineers to define the project software architecture and maintenance/retraining strategy and SMEs to adapt AI technology to the industry needs
Fuel your passion
To be successful in this role you will:
- Have a Master or PhD in Computer Science Machine Learning Artificial Intelligence or a related field
- 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 of applying AI algorithms for dynamical 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 in 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 and
software programming languages including Python C
Work in a way that works for you
We recognize that everyone is different and that the way in which people want to work and deliver at their best is different for everyone this role we can offer the following flexible working patterns:
- Hybrid Working
Working with us
Our people are at the heart of what we do at Baker Hughes. We know we are better when all of our people are developed engaged and able to bring their whole authentic selves to work. We invest in the health and well-being of our workforce train and reward talent and develop leaders at all levels to bring out the best in each other.
Working for you
Our inventions have revolutionized energy for over a century. But to keep going forward tomorrow we know we have to push the boundaries today. We prioritize rewarding those who embrace change with a package that reflects how much we value their input. Join us and you can expect:
- Contemporary work-life balance policies and wellbeing activities
- Comprehensive private medical care options
- Safety net of life insurance and disability programs
- Tailored financial programs
- Additional elected or voluntary benefits
Required Experience:
Unclear Seniority
Employment Type
Full-Time
