Lead Research Engineer - AI/ML

RE1055 GE Renewable Energy Technologies Private Limited; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Benefits offered by this job

Relocation assistance

Job summary

GE Vernova’s Advanced Research team invites a Lead Researcher to drive cutting-edge AIML and computer vision projects for visual inspection and prognostics of energy equipment. You will lead experiments, collaborate with cross-functional teams, and publish findings to advance decarbonization and grid modernization.

Ideal candidates have a PhD (or Master’s with extensive experience) and strong Python/TensorFlow/PyTorch skills, plus proven industrial CV applications and IP contribution abilities.

Qualifications

• PhD with 5+ years of relevant experience or Masters with 7+ years from a reputed institution.
• Strong background in ML, AI, CV with expertise in CNNs and Vision Transformers.
• Proficiency in Python, TensorFlow, PyTorch, OpenCV; experience with Git and Agile practices.
• Ability to apply AIML concepts to industrial visual inspection and diagnostics.

Responsibilities

• Develop and implement AIML and computer vision algorithms for inspection and diagnostics.
• Analyze large datasets to identify patterns, trends, and insights for energy equipment.
• Design experiments to evaluate AIML models and ensure reliability and scalability.
• Collaborate with engineers, researchers, and product managers to deploy solutions.
• Contribute to IP through inventions and publish research findings.

Skills

AI/ML Research

Computer Vision

Deep Learning

Image Processing

Data Analysis

Communication

Teamwork

Education

PhD or Masters in a relevant field

Tools

Python

TensorFlow

PyTorch

OpenCV

Git

Pandas/NumPy

Job description

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 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 experienced Lead Researcher to join our team in the field of Artificial Intelligence, Machine Learning (AIML). As a Lead Research Engineer, you will lead and drive cutting‑edge projects that leverage AIML and computer vision techniques for the development of state‑of‑the‑art visual inspection, anomaly detection, prognostics, diagnostics, and modelling solutions.

Roles and responsibilities

• Develop and implement algorithms and methodologies in artificial intelligence, machine learning (AIML), and computer vision to support process and product innovation.
• Analyze extensive datasets to identify complex patterns, trends, and insights, with an emphasis on computer vision-based diagnostics, visual inspection, and prognostics for energy equipment.
• Design and optimize AIML and computer vision algorithms and models, including convolutional neural networks and generative models, to ensure strong performance and scalability.
• Design and conduct experiments to assess the efficacy and reliability of AIML-based solutions.
• Document research findings, methodologies, and implementation strategies 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 current with advancements in AIML, computer vision, control systems, and signal processing engineering.
• Contribute to research initiatives to conceptualize and develop AI and computer vision solutions for industrial challenges, including image-based defect detection, object recognition, and visual analytics.
• Support junior team members and contribute to project execution, ensuring alignment with strategic objectives.
• Demonstrate the impact of AI through prototypes and solutions that address real-world problems.
• Utilise best practices in 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.

Required Qualifications

• PhD with 5+ years relevant experience or Masters with 7+ years relevant experience from a reputed institution.
• Strong understanding and experience in machine learning, artificial intelligence, computer vision, and related fields, with expertise in image processing, object detection, segmentation, and deep learning architectures (e.g., CNNs, Vision Transformers).
• Demonstrated ability to apply advanced AIML and computer vision concepts to practical applications, including industrial visual inspection, image classification, and object detection.
• Proficiency in programming languages and frameworks commonly used in AIML and computer vision applications, such as Python, TensorFlow, PyTorch, OpenCV, and related libraries.
• Experience in data analysis and manipulation using tools like pandas, NumPy, and familiarity with software development best practices, including version control (e.g., Git) and agile methodologies.
• Strong problem-solving skills and ability to think critically and creatively.
• Excellent communication skills and ability to work effectively in a collaborative team environment.
• Ability to build prototypes and develop proof-of-concepts to illustrate solution feasibility.

Additional Information

• Relocation Assistance Provided: Yes

Addressing the climate crisis is an urgent global priority and we take our responsibility seriously. That is our singular mission at GE Vernova: continuing to electrify the world while simultaneously working to help decarbonize it. If we want our energy future to be different…we must be different. Our mission is embedded in our name. We retain our treasured legacy, “GE,” in our name as an enduring and hard‑earned badge of quality and ingenuity. “Ver” / “verde” signal Earth’s verdant and lush ecosystems. “Nova,” from the Latin “novus,” nods to a new, innovative era of lower carbon energy that GE Vernova will help deliver. Together, we have The Energy to Change the World. www.gevernova.com