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Intern - Digital & Automation Engineering

GE Vernova -
Bengaluru, Karnataka

Apply Now

Job details

Internship
2 days ago

Qualifications

Data modeling
Azure
Computer Science
Data structures
Master's degree
AWS
Bachelor's degree
Machine learning
Deep learning
Django
Web services
Flask
AI
Communication skills
Python
Analytics

Full job description

As an Intern in the Gas Power Steam Services ITR Engineering team, you will play a pivotal role in the digital transformation of our Steam Turbine Engineering. You will focus on developing and implementing AI-driven applications designed to enhance engineering productivity, improve product quality, and accelerate delivery cycles. This role offers a unique opportunity to apply cutting-edge Machine Learning and Data Science techniques to real-world power generation challenges, directly contributing to cost reduction and the global energy transition.

Job Description

Essential Responsibilities:

Be a part of team to support development using ML and Generative AI technologies including but not limited to LLMs and Vision Models
Work effectively on an assigned project in the field of Steam Turbine engineering application development.
Work closely with the design community to identify business needs, create a problem statement, & develop functional specifications and support software development.
Work closely with an identified mentor on an allocated project, make presentations.
Document technical data generated by the assigned project consistent with organization policies and procedures.

Qualifications/Requirements:

Working towards Bachelors/master’s in computer science (Specialization in AI/ML and Data Sciences).

Skill Set requirements:

Knowledge of programming languages such as Python with analytics skills and exposure to web services.,
Understanding of data structures, algorithms and computer architectures with ability to write highly optimized code.
Experience with data modelling and applied mathematics.
Experience building models with deep learning frameworks to find solutions to that data that represent approximately to a partial differential equation data.
Experience development and deploying models with Flask, Django, AWS, Azure, or other cloud services.
Knowledge of relevant statistical, mathematical, and computational concepts.
Ability to collaborate with others, work in a team, maintain a respectful working environment.
Strong written, composed verbal communication, presentation and organization skills.
Curious disposition that allows you to think both critically and outside the box.
Interest in learning the latest technologies and methods in this space and orientation to research, find new/unconventional ways to solve complex problems.

Additional Information

Relocation Assistance Provided: No

Apply Now

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