GE Vernova Advanced Research Intern (AI / Machine Learning) Opening


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GE Vernova Advanced Research AI Intern Opening

Company: GE Vernova (JFWTC, Bangalore)

Role: Advanced Research Intern (AI / Machine Learning)

Job ID: R5050740

Application Deadline: October 30, 2026


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 400+ 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 talented individual to join our team as an Advanced Research Intern in the field of Artificial Intelligence. This internship offers an exciting opportunity to work on cutting-edge research projects, collaborate with experienced researchers, and contribute to the advancement of knowledge in Machine Learning theory and applications.

Roles and Responsibilities

  • Design and develop research experiments for time series analysis, machine vision, and deep learning.
  • Build and evaluate AI/ML algorithms using Python, PyTorch, or TensorFlow.
  • Analyze experimental results to validate model accuracy and derive insights.
  • Conduct literature reviews on state-of-the-art techniques in time series forecasting and computer vision.
  • Document methodologies and findings in technical reports and presentations.

Required Qualifications

  • Currently enrolled in a Master’s or Ph.D. program in Computer Science, Electrical/Electronics Engineering, Applied Mathematics, Data Science, or related fields.
  • Strong development experience in Python and AI/ML frameworks (PyTorch, TensorFlow, Keras).
  • Proficiency in building models for time series and/or image data.
  • Familiarity with data processing libraries (NumPy, pandas, OpenCV).
  • Strong analytical, communication, and teamwork skills.

                            ðŸ‘‰ Click Here to Apply via Official Portal

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