Want Job Alerts? Join UsGE Aviation Off Campus Freshers Careers 2024 Details:
About Company:
GE (NYSE:GE) rises to the challenge of building a world that works. For more than 125 years, GE has invented the future of industry, and today the company’s dedicated team, leading technology, and global reach and capabilities help the world work more efficiently, reliably, and safely. GE’s people are diverse and dedicated, operating with the highest level of integrity and focus to fulfill GE’s mission and deliver for its customers. www.ge.com
Official Website: www.geaviation.com
Job Profile: Intern
Degree Required: Bachelor’s program
Experience Required: Fresher
Batch Eligible: 2023/2024/2025
CTC: ₹5 LPA
Work Location: Bengaluru
Job Description Summary
We are looking to grow our Software Controls and Optimization team at GE Aerospace Research & are looking for top notch researchers to be part of this exciting journey. As a group, we innovate and execute on the R&D strategy for GE Aerospace on a range of problems from designing inspections solutions for aircraft engines to building predictive/prescriptive analytics for a variety of applications that improve process efficiencies in the business.
Job Description
- We are looking for highly motivated people with proven track record to conduct research in natural language processing, artificial intelligence, and machine learning.
- As a Research Intern, you will be working with scientists in GE Aerospace Research to develop search and recommendation systems to improve the productivity of our Engineering teams.
- Your responsibilities will include developing and implementing algorithms to process Aerospace domain data for recommendation systems, design experiments, conduct thorough evaluations, and document your work (e.g., publications, invention disclosures).
- It will also include effectively communicating your findings with the appropriate stakeholders.
- You will encounter and have an opportunity to tackle unique challenges posed by the data and problems in the Aerospace domain including data quality, highly domain specific vocabulary, and how to integrate NLP/LLM-based solutions into our safety critical and regulated workflows and processes.
Required Qualifications
- Enrolled in full-time Bachelor’s program in Computer Science, Electronics, Industrial, Electrical, Mechanical or related Engineering field with focus in Natural Language Processing, AI, Machine Learning, or Statistics.
- Proficient in implementing algorithms and solutions in Python.
- Self-starter, ability to work in ambiguous environments, and excellent communication skills.
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Note: Shortlisted candidates will receive an email/call for the further interview process.