
This job closed on 14 Sep
GE Vernova stopped taking applications for Digital Technology Intern – AI/ML. The apply link no longer works. These open jobs take the same batches.
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GE Vernova Digital Technology Internship 2025 – Eligibility, Stipend, How to Apply, and More
What the post said
About the Role
GE Vernova’s Gas Power Engineering division is hiring a Digital Technology Intern to work on the development of Artificial Intelligence applications for Steam Turbine engineering. The focus areas include engineering productivity, quality, on-time delivery, cycle time optimization, and cost reduction.
This is an exciting opportunity for students passionate about AI, ML, and data science who want to gain hands-on experience in solving real-world industrial challenges.
Key Responsibilities
- Collaborate with teams to develop AI solutions using ML, Generative AI, LLMs, and Vision Models.
- Support development of applications relevant to steam turbine engineering use cases.
- Work closely with designers and engineers to understand business requirements and define functional specifications.
- Partner with a dedicated mentor throughout the internship and present progress on allocated projects.
- Maintain clear technical documentation in line with organizational standards.
Education Requirement
- Currently pursuing a Bachelor’s or Master’s degree in Computer Science or related fields with specialization in AI/ML or Data Science.
Required Technical Skills (comma-separated)
Python, Flask, Django, AWS, Azure, Deep Learning, Machine Learning, Generative AI, Vision Models, Data Structures, Algorithms, Data Modeling, Applied Mathematics, Web Services, Computer Architecture, Cloud Services, Statistical Concepts, Computational Modeling
Preferred Qualifications and Traits
- Strong analytical and problem-solving skills with attention to detail.
- Ability to write clean, optimized, and scalable code.
- Hands-on experience with building and deploying AI/ML models.
- Exposure to solving data-driven problems similar to partial differential equations.
- Familiarity with cloud platforms and deploying solutions in production environments.
- Excellent verbal and written communication skills.
- Team player with strong collaboration skills and curiosity to explore unconventional solutions.
- Enthusiastic learner with a passion for emerging technologies and innovation.
About GE Vernova
GE Vernova’s Gas Power business delivers advanced gas-powered technologies and services, including decarbonization solutions to support a lower carbon future. With the industry’s largest installed base, GE Vernova is a global leader in power plant technology, committed to helping build a more sustainable world.
Apply now to join a world-class team developing AI technologies for a cleaner and more efficient energy future.
Skills and topics
More jobs like this
GE Vernova is a global energy-focused business within General Electric, dedicated to accelerating the transition toward a more sustainable and reliable energy future. Officially launched in 2023 as part of GE's strategic reorganization, GE Vernova encompasses GE’s portfolio of energy-related businesses, including power generation, renewable energy, grid…
- Size
- 1,000+ people
- Open jobs on talentd
- 1 job
- Pay in this post
- ₹25K–33K a month
- Founded
- 2023
- Headquarters
- Cambridge, Massachusetts, USA
- Website
- gevernova.com
Other GE Vernova jobs open now
- Engineering InternshipHyderabad · ₹25K–33K a month
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Questions about this job
Can 2028 graduates apply for this GE Vernova Digital Technology Intern – AI/ML job?
Not any more: the job has closed. When it was open, it took batch 2025, 2026, 2027 and 2028.
What is the salary for Digital Technology Intern – AI/ML at GE Vernova in Bengaluru?
The post lists ₹25K–33K a month.
Is this job still open?
No. GE Vernova stopped taking applications on 14 Sep 2026. The open jobs listed on this page take the same batches.
How do I prepare for the GE Vernova interview?
Revise the skills the post asks for (AWS, Azure and Computer Vision) and practise common fresher interview questions on FleetCode.
