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:
Main Requirement: Minimum of 5 years of experience in the role in a multinational manufacturing company with proven expertise in the energy smart infrastructure or industrial automation sectors including system protection automation monitoring and diagnostics.
Masters or PhD in Computer Science Information Technology Electrical Engineering or a related field.
Solid 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 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 solution-focused 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 game-changing 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.
Relocation Assistance Provided: No
Required Experience:
Senior IC
GE Vernova's Asset Performance Management software can help you increase asset reliability, minimize costs and reduce operational risks. View a demo today.