Job Specifications
Job Description Summary
We are looking for a passionate, creative, and results-driven Machine Learning (ML) Engineer with solid experience in the role, typically gained through a minimum of 5 years working within multinational manufacturing companies operating in the energy, smart infrastructure, or industrial automation sectors. The ideal candidate has a strong track record of independently leading and delivering ML projects.
As part of our AI & Grid Innovation team, you will be at the forefront of developing, deploying, and validating cutting-edge AI/ML models specifically designed for grid innovation applications. You will play a key role in designing and building systems to test and verify proof-of-concepts, delivering AI-driven solutions both at the edge and in the cloud.
This role reports to the AI Director, within the CTO organization, and offers a unique opportunity to collaborate closely with Grid Automation product lines, R&D teams, and other business units. Together, you will contribute to creating impactful, sustainable, and inclusive solutions across the domains of energy systems, smart infrastructure, and industrial automation.
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 customer-driven use cases, including predictive maintenance and load forecasting.
Validate and verify AI/ML proof-of-concepts in real-world 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 production-ready 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 cross-functional teams to identify business challenges and deliver AI-driven solutions that are efficient, equitable, and scalable.
Integrate AI/ML solutions effortlessly into grid automation systems, whether in the cloud or at the edge.
Must-Have Requirements
Master’s 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 deep expertise in system protection, automation, monitoring, and diagnostics, typically acquired through a minimum of 5 years within a multinational manufacturing company.
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 scikit-learn.
Hands-on 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.
Nice-to-Have 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 problem-solving 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 cutting-edge 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 we’re always dr