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GE Vernova

Builds equipment and software for electric power

Research Scientist - Machine Learning

AI ResearchConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listed

About the Job

Requirements

  • A PhD from a premier Indian institution such as IISc or an IIT with 0–2 years of relevant experience, or a Master's degree from such an institution with 5 or more years of relevant experience, in artificial intelligence and machine learning or a related field.
  • Strong understanding and hands-on experience in machine learning, artificial intelligence, computer vision, image processing, object detection, image segmentation, and deep learning architectures such as convolutional neural networks and Vision Transformers.
  • Experience applying artificial intelligence and machine learning and computer vision concepts to practical applications, including industrial visual inspection, image classification, or real-time object detection.
  • Proficiency in Python, TensorFlow, PyTorch, OpenCV, and related libraries used in artificial intelligence and machine learning and computer vision applications.
  • Experience in data analysis and manipulation using pandas and NumPy.
  • Familiarity with software development best practices, version control such as Git, and agile methodologies.
  • Ability to build prototypes and develop proof-of-concepts to illustrate solution feasibility.
  • A good record of peer-reviewed publications in reputed journals and conferences in artificial intelligence and machine learning or computer vision and related fields.

Responsibilities

  • Develop advanced algorithms and methodologies in artificial intelligence, machine learning, and computer vision to drive process and product innovation.
  • Analyze extensive datasets to identify patterns, trends, and insights, with emphasis on computer vision-based diagnostics, visual inspection, and prognostics for large-scale energy equipment.
  • Design and optimize artificial intelligence and machine learning and computer vision algorithms and models, including convolutional neural networks and generative models, for high performance and scalability.
  • Design and conduct experiments to assess the efficacy and reliability of artificial intelligence and machine learning-based solutions.
  • Document research findings, methodologies, and implementation strategies for knowledge sharing and future reference.
  • Collaborate with engineers, researchers, and product managers to integrate artificial intelligence and machine learning solutions into existing system platforms.
  • Stay current with advancements in artificial intelligence and machine learning, computer vision, control systems, and signal processing engineering.
  • Contribute to research initiatives that conceptualize and develop artificial intelligence and computer vision solutions for complex industrial challenges, including image-based defect detection, object recognition, and visual analytics.
  • Support senior researchers and contribute to project execution in alignment with strategic objectives.
  • Demonstrate the impact of artificial intelligence through prototypes and solutions addressing real-world problems.
  • Use software libraries, tools, and methodologies to implement efficient, scalable, and reusable solutions.
  • Contribute to intellectual property development by authoring invention disclosures and supporting patent filings.
  • Publish research in scientific journals and present findings at conferences.

About the Company

GE Vernova

Builds equipment and software for electric power

GE Vernova makes equipment and software that generate and manage electricity for utilities, power producers, and industrial customers. Its Power, Wind, and Electrification businesses span gas turbines, wind generation, and the systems that move electricity across grids. The company supplies generators, grid equipment, and controls, while its software coordinates network operations and integrates changing sources of power. Customers buy equipment and enter service agreements for maintenance, upgrades, and technical support over its operating life, alongside purchases of software and related services. GE Vernova became an independent company in 2024 after separating from GE and is headquartered in Cambridge, Massachusetts.

Company size
10,001+
Company stage
N/A
Total funding
$17.6M
Headquarters
Cambridge, MA
Founded
2024

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