About the company
GE Vernova’s Power Conversion & Storage business combines advanced energy conversion and storage systems to meet the electrification needs of utilities and industries. With a focus on industrial electrification, power stability, and energy storage solutions, Power Conversion & Storage empowers customers by addressing their most complex electrification challenges and accelerating their transition to a sustainable, decarbonized future.
For more info: 🔗 Visit Official GE Vernova Website
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💼 Software Engineer – Bangalore ((NEW))
GE Vernova is hiring an Software Engineer for the Bangalore location. Please read the complete information carefully and apply if you are eligible.
Eligibility Criteria :
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Qualification: Bachelors/master’s in computer science (Specialization in AI/ML and Data Sciences). -
Experience: 0 - 1 Years -
Skills: Python and Java
Responsibilities:
- Be part of the team supporting the development of applications using Machine Learning and Generative AI technologies, including but not limited to Large Language Models (LLMs) and Vision Models.
- Support the development and management of site data acquisition system applications, ensuring reliability and efficiency.
- Work effectively on assigned projects in the field of Steam Turbine engineering application development, delivering solutions aligned with project goals and timelines.
- Collaborate closely with the design community to identify business needs, define problem statements, develop functional specifications, and support software development.
- Document technical data generated during assigned projects in accordance with organizational policies and procedures, ensuring accuracy and compliance.
Required Skills:
- Proficiency in programming languages such as Python and Java, with strong analytics skills and exposure to web services.
- Knowledge of site data acquisition and transport methodologies.
- Solid understanding of data structures, algorithms, and computer architectures, with the ability to write highly optimized code.
- Experience in data modeling and applied mathematics. Hands-on experience building models with deep learning frameworks to solve problems involving data approximations to partial differential equations (PDEs).
- Experience developing and deploying models using Flask, Django, AWS, Azure, or other cloud services.
- Strong knowledge of relevant statistical, mathematical, and computational concepts.
- Ability to collaborate effectively, work in a team, and maintain a respectful and inclusive working environment.
- Excellent written, verbal communication, presentation, and organizational skills.
- A curious mindset with the ability to think critically and creatively.
- Interest in learning the latest technologies and methods, with a research-oriented approach to finding new and unconventional ways to solve complex problems
Stipend: ₹11LPA—₹17 LPA (Glassdoor)
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