drjobs Machine Learning Engineer – AI for Grid Innovation & Energy Transition

Machine Learning Engineer – AI for Grid Innovation & Energy Transition

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Job Location drjobs

Stafford - UK

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Job Description Summary

GE Vernova is accelerating the path to more reliable affordable and sustainable energy while helping our customers power economies and deliver the electricity that is vital to health safety security and improved quality of life. Are you excited at the opportunity to electrify and decarbonize the world

We are looking for a passionate creative and resultsoriented Machine Learning (ML) Engineer with substantial experience in the energy smart infrastructure or industrial automation sectors to join our AI & Grid Innovation team. In this role you will be at the forefront of developing deploying and validating cuttingedge AI/ML models designed specifically for grid innovation applications. You will play a key role in building systems to test and verify proofofconcepts delivering AIdriven solutions both at the edge and in the cloud.

Reporting to the AI Director within the CTO organization this position offers the opportunity to work collaboratively with Grid Automation product lines R&D teams and other business units to create impactful sustainable and inclusive solutions across energy systems smart infrastructure and industrial automation. Your expertise in automation AI and their integration into these domains will be essential in shaping the companys mission to foster innovation inclusivity and progress.

Job Description

Essential Responsibilities:

  • Lead the design development and deployment of scalable AI/ML models for grid innovation applications in the energy smart infrastructure or industrial automation sectors.
  • Create innovative analytics to optimize grid system performance and product differentiation.
  • Develop AI/ML applications for customerdriven use cases including predictive maintenance and load forecasting.
  • Validate and verify AI/ML proofofconcepts in realworld environments ensuring they meet the diverse needs of our customers.
  • Monitor maintain and optimize deployed AI/ML models to continuously enhance their accuracy and performance.
  • Manage the collection structuring and analysis of data to enable seamless AI/ML applications.
  • Ensure that models are productionready and continuously improve in line with emerging needs and technologies.
  • Embrace MLOps principles to streamline the deployment and updating of ML models in production.
  • Collaborate closely with crossfunctional teams to identify business challenges and deliver AIdriven solutions that are efficient equitable and scalable.
  • Integrate AI/ML solutions effortlessly into grid automation systems whether in the cloud or at the edge.

MustHave Requirements:

  • Masters or PhD in Computer Science Information Technology Electrical Engineering or a related field.
  • Proven experience in the energy smart infrastructure or industrial automation sectors with expertise in system protection automation monitoring and diagnostics.
  • Strong foundation in AI/ML techniques including supervised unsupervised and reinforcement learning deep learning and large language models (LLMs).
  • Experience with ML frameworks such as TensorFlow PyTorch and scikitlearn.
  • Handson experience deploying ML models in production environments using MLOps principles.
  • Expertise in relevant AI/ML applications such as predictive maintenance load forecasting or optimization.
  • Proficiency in programming languages such as Python R MATLAB or C.
  • Familiarity with cloud platforms (AWS Azure Google Cloud) and microservices architecture.

NicetoHave Requirements:

  • Experience with data modeling containerization (Docker Kubernetes) and distributed computing (Spark Scala).
  • Familiarity with GraphDB MongoDB SQL/NoSQL and other DBMS technologies.
  • Understanding of system automation protection and diagnostics in relevant sectors.
  • Experience with deep learning algorithms reinforcement learning NLP and computer vision in applicable domains.
  • Excellent communication organizational and problemsolving skills with a strong emphasis on teamwork collaboration and fostering inclusive environments.

At GE Vernova Grid Automation you will have the opportunity to work on cuttingedge projects that shape the future of energy. We offer a collaborative environment where your expertise will be valued and your contributions will make a tangible impact. Join us and be part of a team that is driving innovation and excellence in control systems.

About GEV Grid Solutions:

At GEV Grid Solutions we are electrifying the world with advanced grid technologies. As leaders in the energy space our goal is to accelerate the transition for a more energy efficient grid to full fill the needs of tomorrow. With a focus on growth and sustainability GE Grid Solutions plays a pivotable role in integrating Renewables onto the grid to drive to carbon neutral. In Grid Solutions we help enable the transition for a greener more reliable Grid. GE Grid Solutions has the most advanced and comprehensive product and solutions portfolio within the energy sector.

Why we come to work:

At GEV our engineers are always up for the challenge and were always driven to find the best solution. Our projects are unique and interesting and youll need to bring a solutionfocused positive approach to each one to do your best. Surrounded by committed loyal colleagues if you can dare to bring your ingenuity and desire to make an impact youll be exposed to gamechanging diverse projects that truly allow you to play your part in the energy transition.

What we offer:

A key role in a dynamic international working environment with a large degree of flexibility of work agreements

Competitive benefits and great development opportunities including private health insurance.

Additional Information

Relocation Assistance Provided: No

Employment Type

Full-Time

Company Industry

About Company

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