GE Aerospace is hiring for the positions of Intern in Bengaluru, India. Candidates with Master’s Degree or PhD are eligible to apply for this position. The complete information, eligibility criteria, and requirements are provided below.
Job Description:
| Company Name | GE Aerospace |
| Position | Intern |
| Qualifications | Master’s Degree or PhD |
| Batch | 2024/ 2025/ 2026/ 2027 |
| Experience | Freshers |
| Location | Bengaluru, India |
Key Responsibilities:
- Conduct research in natural language processing (NLP), artificial intelligence (AI), and machine learning (ML) to support innovative solutions in the aerospace domain.
- Collaborate with GE Aerospace Research scientists to design and develop search and recommendation systems aimed at improving engineering team productivity.
- Develop and implement algorithms for processing aerospace domain data to enhance recommendation systems.
- Design experiments, perform rigorous evaluations, and analyze results to validate research findings.
- Document research outcomes through publications, invention disclosures, and internal technical reports.
- Communicate findings, insights, and recommendations effectively to relevant stakeholders.
- Address unique challenges in the aerospace domain, including data quality issues, highly domain-specific vocabulary, and integrating NLP/LLM-based solutions into safety-critical and regulated workflows.
Eligibility Criteria:
- Currently enrolled in a full-time Master’s or PhD program in Computer Science, Electronics, Industrial, Electrical, Mechanical, or a related engineering field, with specialization in Natural Language Processing (NLP), Machine Learning (ML), Artificial Intelligence (AI), or Statistics.
- Minimum of one year of experience conducting independent research, ideally in areas such as Large Language Models (LLMs), entity and relation extraction, or zero/few-shot learning.
- Proficiency in implementing algorithms, building data pipelines, and developing solutions using Python.
- Self-starter with the ability to work effectively in ambiguous environments and excellent communication skills.
Ideal Candidate Profile:
- Experience in data analytics, optimization, estimation, or detection algorithms.
Preferred Skill:
- Enrolled in a PhD program with at least three years of independent research experience.
- Previous experience in training, fine-tuning (including instruction-tuning), and deploying Large Language Models.
- Demonstrated track record of publications in top AI conferences or co-located workshops.
- Exposure to solving problems and handling datasets from industrial domains such as aviation, energy, healthcare, or manufacturing.
- Strong foundations in the design, analysis, and implementation of algorithms across various computing architectures.
- Experience with computer vision algorithms is an added advantage.
About Company:
GE Aerospace is a world-leading provider of jet and turboprop engines, components and integrated systems for commercial, military, business and general aviation aircraft. At GE Aerospace, we believe the world works better when it flies.
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