Research Scientist - Machine Learning

Job Description Summary

GE Vernovas Advanced Research business is the central innovation engine for GEs portfolio of energy businesses, which is unified under one banner called GE Vernova. The research organization is made up of 300+ 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 a Research 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.

Job Description

Roles and responsibilities

• Develop innovative algorithms and methodologies in artificial intelligence and machine learning (AIML) tailored for process and product development.
• Analyse extensive datasets to identify patterns, trends, and insights, focusing on diagnostics and prognostics for large-scale energy equipment.
• Implement and enhance AIML algorithms and models for optimal performance.
• Design and execute experiments to evaluate the efficacy and reliability of AIML-based solutions.
• Document research findings, methodologies, and implementation details for effective knowledge sharing and future reference.
• Collaborate with cross-functional teams, including engineers, researchers, and product managers, to integrate AIML solutions into existing system platforms.
• Stay informed on advancements in AIML, control systems, and signal processing engineering through literature reviews and participation in relevant conferences and seminars.
• Research, conceptualize, and develop AI solutions for complex industrial challenges.
• Work collaboratively with fellow researchers on ongoing and new projects.
• Demonstrate the value of AI through early prototypes and solutions addressing real-world problems.
• Utilize software libraries, tools, and practices to implement efficient, scalable, and reusable solutions.
• Contribute to intellectual property development by writing invention disclosures and filing patents.
• Publish research in scientific journals and present findings at conferences.

Required Qualifications

• PhD with 2 - 5 Years Experience or Masters degree with 5 - 7 Years Experience from a reputed institution in Computer Science or other engineering field.
• Strong understanding of fundamental concepts in statistics, machine learning, and artificial intelligence.
• Proficiency in programming languages commonly used in AIML applications such as Python, PySpark, PyTorch, Pandas, or similar.
• Experience with data analysis and manipulation using tools like Pandas and NumPy.
• Familiarity with software development best practices, including version control (e.g., Git) and agile methodologies.
• Basic knowledge of cloud-based architectures
• Excellent problem-solving skills and ability to think critically and creatively.
• Strong communication skills and ability to work effectively in a collaborative team environment.
• Demonstrated ability to build prototypes and quickly develop proof of concepts to show solution feasibility.