Full-Time

Principal Scientist

AI/ML

Posted on 12/13/2025

GE Vernova

GE Vernova

1,001-5,000 employees

Portfolio of energy businesses delivering electricity

No salary listed

Bengaluru, Karnataka, India

In Person

Relocation assistance provided.

Category
AI & Machine Learning (1)
Required Skills
Agile
Python
Tensorflow
Git
Pytorch
Machine Learning
Pandas
NumPy
Requirements
  • PhD with 15+ years relevant experience or Masters with 18+ years relevant experience from a reputed institution
  • Extensive understanding and experience in machine learning, artificial intelligence, and related fields, including a proven track record of applying multiple advanced AIML concepts to practical applications
  • Proficiency in programming languages and frameworks commonly used in AIML applications, such as Python, TensorFlow, PyTorch, and others
  • Expertise in data analysis and manipulation using tools like pandas, NumPy, and proficiency in software development best practices, including version control (Git) and agile methodologies
  • Strong leadership capabilities, excellent problem-solving skills, and ability to think critically and creatively
  • Superior communication skills and ability to lead, mentor, and work effectively in a collaborative team environment
  • Demonstrated ability to build advanced prototypes and rapidly develop proof-of-concepts to illustrate solution feasibility
  • Experience with project leadership, including project planning, resource allocation, and team management
  • Strong business acumen and ability to drive business impact through technical innovation
  • Proven track record of securing funding for research projects, and managing project budgets and resources
  • Must be willing to work out of an office located in Bangalore JFWTC Campus
  • You must submit your application for employment on the careers page at www.careers.gevernova.com to be considered
Responsibilities
  • Provide technical leadership and vision for the development of advanced algorithms and methodologies in artificial intelligence and machine learning to drive process and product innovation
  • Develop and implement research strategies to identify and prioritize areas of focus for AIML research, ensuring alignment with business objectives and industry trends
  • Mentor and guide junior researchers, including Senior Engineers and Scientists, to help them develop their technical skills and expertise in AIML, and provide guidance on project leadership and management
  • Drive innovation in AIML by staying at the forefront of advancements in the field, through literature reviews, active participation in conferences and seminars, and collaboration with external research institutions and industry partners
  • Lead large-scale research projects, including project planning, resource allocation, and team management, to ensure successful project execution and delivery of high-impact results
  • Collaborate with cross-functional teams, including engineers, researchers, and product managers, to seamlessly integrate AIML solutions into existing system platforms and drive business impact
  • Drive intellectual property development by authoring invention disclosures, filing patents, and publishing research in high-impact scientific journals and presenting findings at leading conferences
  • Identify and develop talent within the organization, including recruiting and hiring new researchers, and providing training and development opportunities to help them grow in their careers. This will include partnering with the Advanced Research Center (ARC) leadership to develop and implement talent development strategies, and collaborating with the ARC team to identify and develop future research leaders
  • Maintain and expand technical expertise in machine learning, artificial intelligence, and related fields, including proficiency in programming languages and frameworks commonly used in AIML applications, such as Python, TensorFlow, PyTorch, and others
  • Communicate complex technical concepts and research findings to both technical and non-technical audiences, including business leaders, customers, and external partners
  • Develop and implement strategies to drive the adoption of AIML solutions within the organization, including working with business leaders to identify opportunities for AIML to drive business impact
  • Develop and propose innovative ideas for AIML research projects, and secure funding for these projects through internal sources, such as the GE Vernova research funding program, and external sources, such as industry partnerships and collaborations
  • Manage project budgets and resources, and ensure that projects are delivered on time, within budget, and to the required quality standards
Desired Qualifications
  • Experience with cloud-based technologies, such as AWS or Azure, and containerization using Docker
  • Experience with agile development methodologies, such as Scrum or Kanban
  • Knowledge of industry trends and developments in AIML, including advancements in areas such as computer vision, natural language processing, and reinforcement learning
  • Experience with patent development and intellectual property protection
  • Strong network of contacts within the AIML research community, including academia and industry partners
  • Experience with industry partnerships and collaborations, and ability to develop and maintain relationships with external partners

GE Vernova is the umbrella for GE’s energy businesses, including Power, Renewable Energy, and Digital, along with Energy Consulting, Energy Financial Services, Grid Solutions, Nuclear Energy, and LM Wind Power. It contributes to about one-third of the world’s electricity and focuses on making energy more reliable, affordable, and sustainable. The company combines hardware, software, services, and financing to deliver end-to-end energy solutions—from gas turbines, wind turbines, and nuclear systems to digital tools and grid infrastructure, supported by consulting and financing. What sets GE Vernova apart is its one-stop portfolio that covers the full energy value chain at a global scale, integrating equipment, software, services, and finance to help customers improve efficiency and decarbonize. Its goal is to speed the transition to reliable, affordable, and sustainable energy for customers around the world.

Company Size

1,001-5,000

Company Stage

N/A

Total Funding

N/A

Headquarters

Cambridge, Massachusetts

Founded

2022

Simplify Jobs

Simplify's Take

What believers are saying

  • $163B backlog surges 71% YoY from AI data center and grid demands.
  • US-Japan $40B plan deploys BWRX-300 SMRs in Tennessee and Alabama.
  • 2028 revenue targets $56B at 14% CAGR with EBITDA margins doubling to 20%.

What critics are saying

  • Wind segment declines 6% in 2025 from offshore cancellations and licensing delays.
  • Vestas outsells GE Vernova 20% higher in Europe onshore turbines Q1 2026.
  • Siemens Energy's SF6-free tech captures 15GW EU contracts, cuts GEV margins 10-15%.

What makes GE Vernova unique

  • GE Vernova's technologies generate 25% of world's electricity via 59,000 wind turbines.
  • Spun off from GE in April 2024, focusing solely on Power, Wind, and Electrification segments.
  • Prolec GE acquisition adds $5B transformer backlog for grid solutions.

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Benefits

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

Disability Insurance

401(k) Retirement Plan

401(k) Company Match

Paid Vacation

Paid Parental Leave

Mental Health Support

Relocation Assistance

Performance Bonus

Company News

Yahoo Finance
Apr 4th, 2026
GE Vernova secures $6M state funding for $96M energy research centre in Niskayuna

GE Vernova has secured an additional $6 million in state funding for its $96 million Advanced Research Center on Balltown Road in Niskayuna, New York. The grant, awarded through the FAST NY programme, will fund water supply, road and stormwater management upgrades at the campus, offsetting roughly half of the $12 million in required infrastructure improvements. The company previously received $9.6 million in state tax credits linked to plans for creating 75 new jobs at the research centre, along with low-cost hydropower allocation. The site, separate from GE Vernova's existing River Road labs, will house energy technology research including a direct air capture carbon system currently under testing. GE Vernova earned nearly $5 billion in 2025 on $38 billion in revenue, with a market value of $242 billion.

BetaKit
Mar 31st, 2026
ThinkLabs raises $28M USD Series A to help power grids handle AI data centre demand

ThinkLabs has raised $28 million USD ($39 million CAD) in a Series A round led by Energy Impact Partners to help power grids manage surging demand from AI data centres. Nvidia's venture fund NVentures and Edison International participated, alongside returning investors including GE Vernova. The Canadian-led, New York-based startup provides physics-informed AI software that creates digital twins of power grids, simulating scenarios to help operators maintain reliability and reduce outages. The platform reduces what would typically be a six-month, quarter-million-dollar study to under a day's analysis. Founded by former Toronto Hydro smart-grid department head Josh Wong, ThinkLabs spun out of GE Vernova in early 2024 with $6.8 million CAD in seed funding. The company will use the new capital to mature its product and expand features whilst focusing on the North American market.

Yahoo Finance
Mar 20th, 2026
Trump and Japan unveil up to $40B US nuclear reactor plan

President Donald Trump and Prime Minister Sanae Takaichi have unveiled a US-Japan energy investment plan potentially worth $40 billion, centring on small modular nuclear reactors. GE Vernova and Hitachi will develop BWRX-300 reactors in Tennessee and Alabama, whilst Japan will invest up to $33 billion in natural gas plants in Pennsylvania and Texas. The initiative forms part of a broader $550 billion bilateral investment fund agreed under a recent trade pact. It aims to address rising electricity demand from data centres and artificial intelligence infrastructure. However, most SMR designs await regulatory approval and none have been deployed on US grids. The agreement also covers critical minerals and industrial supply chains, with Japanese firms contributing components and participating in rare-earth projects across Indiana, Arizona and North Carolina.

Yahoo Finance
Mar 10th, 2026
GE Vernova shares rise 14.8% in 3 months on AI data centre power demand

GE Vernova shares have risen 14.8% over the past three months, outperforming its Zacks Alternate Energy – Other industry's 4.1% growth. The company is benefiting from surging electricity demand driven by AI data centre expansion, creating strong opportunities for its turbines and grid equipment. GE Vernova is improving profitability in its wind segment through cost controls and portfolio optimisation, whilst its gas power and power services businesses continue strong performance. In March 2026, the company secured a contract for a 100-megawatt wind farm in Italy, supplying 17 turbines plus maintenance support. The company is expanding its Italian manufacturing facility to boost production of transformer components and advancing its BWRX-300 small modular reactor project in Poland, strengthening its position in the nuclear power market.

Yahoo Finance
Mar 4th, 2026
BlackRock tips AI energy stocks over big tech, highlights 3 power plays for surging data centre demand

BlackRock is advising investors to focus on AI energy stocks rather than big tech companies in 2026, as AI data centres drive a surge in power demand. Deloitte anticipates a 30-fold increase in US AI data centre power consumption between 2024 and 2035. Three promising investments include Bloom Energy, which provides hydrogen fuel cell solutions for onsite electricity generation. The company reported $778 million in revenue last quarter, up 36% year over year, with analysts expecting accelerated growth. Constellation Energy, America's leading nuclear power provider, is restarting a Three Mile Island reactor to supply Microsoft's AI data centre. The company generates over two-thirds of its electricity through nuclear power. GE Vernova, General Electric's power production spinoff, reported orders up 34% to $59.3 billion, with a $150 billion backlog.

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