Join GE Vernova as an AI-ML Engineer to design and implement advanced artificial intelligence and machine learning models that optimize energy systems and renewable technologies. Collaborate with cross-functional teams to drive innovation in sustainable energy solutions.

GE Vernova is at the forefront of the energy transition, and we are seeking a talented AI-ML Engineer to join our innovative team in Villeurbanne. In this role, you will develop and deploy machine learning algorithms to enhance predictive maintenance, optimize grid operations, and accelerate renewable energy integration. You will work closely with data scientists, software engineers, and domain experts to translate complex energy challenges into actionable AI solutions.

Key responsibilities include designing scalable ML pipelines, conducting data analysis on large datasets from IoT sensors and simulations, and integrating AI models into existing software architectures. You will participate in agile development cycles, ensuring models are robust, ethical, and compliant with industry standards. Additionally, you will contribute to research initiatives, exploring emerging technologies like generative AI and reinforcement learning to push the boundaries of energy efficiency.

This position offers the chance to make a real impact on global sustainability goals while growing your expertise in a world-class R&D environment. If you are passionate about AI and excited to apply it to real-world energy problems, we encourage you to apply.

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field
• Proven experience in machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
• Strong proficiency in Python, Java, or C++ for developing AI applications
• Experience with data processing, neural networks, and deep learning techniques
• Knowledge of cloud platforms like AWS, Azure, or Google Cloud for deploying ML models
• Excellent problem-solving skills and ability to work in a fast-paced environment
• French and English language proficiency

• Competitive monthly salary with performance-based bonuses
• Comprehensive health insurance and retirement plans
• Opportunities for professional development and certifications in AI/ML
• Flexible remote work options with collaborative tools
• Access to state-of-the-art facilities and research resources
• Generous paid time off and work-life balance initiatives
• Employee stock purchase program and wellness benefits