Job Description Summary

GE Vernova's Advanced Research business is the central innovation engine for GE's portfolio of energy businesses, which is unified under one banner called GE Vernova. The research organization is made up of 250+ researchers representing virtually every major scientific and engineering discipline. Collectively, they are driving major research programs and initiatives to decarbonize power, accelerate renewables, and promote electrification and the creation of a 21st century grid fit to power a zero-carbon energy future.

We are seeking a highly motivated and skilled researcher to join our team in the field of Artificial Intelligence, Machine Learning (AIML). As an AI/ML Engineer, you will have the opportunity to work closely with our experienced engineers and researchers on cutting-edge projects that leverage AIML techniques for the development of state-of-the-art prognostics, diagnostic and modelling solutions.

• Work closely with experts to develop novel AIML algorithms and methodologies applicable to problems across multiple areas of energy systems.
• Analyze large datasets to identify patterns, trends, and insights to deliver algorithms dealing with diagnostics and prognostics of large energy equipment.
• Collaborate with domain experts and project leaders to understand business needs and translate them into clear and effective LLM prompts.
• Develop, test, and refine prompts for a variety of use cases, ensuring high accuracy and relevance in generated outputs.
• Work closely with software developers to integrate LLM solutions into existing or new applications.
• Stay up-to-date with advancements in LLM and other AIML technologies and contribute to strategic decisions on tool and platform selection

• Master's degree in Computer Science, Engineering, Mathematics, or related field.
• Experience with prompt engineering and familiarity with tools such as OpenAI's GPT models, Hugging Face, etc.
• Proficiency in Python or other programming languages commonly used in AI/ML development.
• Strong problem-solving skills and attention to detail.
• Excellent communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.
• Ability to work collaboratively in a team environment and adapt to changing project requirements.

• Experience with machine learning frameworks (e.g., PyTorch) and data processing libraries (e.g., Pandas, NumPy).
• Previous experience or internships involving NLP or machine learning projects.
• Familiarity with version control systems like Git.
• Understanding of traditional industry operations and challenges