Job Description

We are seeking a Lead Machine Learning (ML) Engineer with solid experience typically gained over at least 5 years in large multinational manufacturing environments, ideally within the energy, smart infrastructure, or industrial automation sectors. The ideal candidate has a proven track record of independently leading and delivering ML projects in complex, data-intensive ecosystems.



In this position, you will be responsible for leading end-to-end ML initiatives, from problem framing and data preparation to model development, optimization, and deployment across edge and cloud platforms. You will independently drive ML project execution, ensuring technical excellence, scalability, and measurable business impact. You will collaborate closely with R&D, product teams, and other business units to support the development of innovative, reliable, and high-performance data-driven solutions.

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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:

Experience typically gained over +5 years in large multinational companies within the energy sector or related industrial domains such as smart infrastructure or industrial automation. Master's 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 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 driven to find the best solution. Our projects are unique and interesting, and you'll 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, you'll 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.

Additional Information

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Relocation Assistance Provided:

No