GE Aerospace Internship 2025: Intern: GE Aerospace Internship 2025 is actively hiring for the role of Intern. In particular, students pursuing a Bachelor’s or Master’s degree in engineering—specifically in Computer Science, Information Technology, or Cyber Security—from reputed institutes are eligible to apply. The internship opportunity is based in Bengaluru. Moreover, the detailed eligibility criteria and application process are provided below.
Company Website: www.geaerospace.com
Job Role: Cyber Security Intern
Qualification: Bachelor’s or Master’s in Engineering
Experience: Freshers
Batch: Recent Or Currently Pursuing
Salary: ₹ 3.3 to 5 LPA (Estimated)
Job Location: Bengaluru
Last Date: ASAP
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To begin with, we aim to expand our Software Controls and Optimization team at GE Aerospace Research. We are, therefore, seeking exceptional researchers to join us on this exciting journey. As a team, we not only innovate but also execute the R&D strategy for GE Aerospace. Our scope includes a wide range of problems, from developing inspection solutions for aircraft engines to building predictive and prescriptive analytics that enhance process efficiencies across the business.
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At GE Aerospace, you bring your unique perspective, innovative mindset, and curiosity to a diverse and collaborative team dedicated to shaping the future of aerospace. In addition, we believe in listening to your ideas and helping them take flight. So, if you have a vision, we are here to support you in realizing it.
Established in 2000, the John F. Welch Technology Center (JFWTC) in Bengaluru serves as our multidisciplinary research and engineering hub. Over the years, engineers and scientists at JFWTC have contributed to numerous aviation patents. Notably, they have made pioneering advances in engine technologies, advanced materials, and additive manufacturing.
We are particularly seeking highly motivated individuals with a proven track record in research areas such as natural language processing, artificial intelligence, and machine learning. As a Research Intern, you will collaborate closely with scientists at GE Aerospace Research. Furthermore, your work will focus on developing search and recommendation systems designed to boost the productivity of our engineering teams.
Specifically, your responsibilities will include implementing algorithms to process aerospace domain data, designing experiments, and conducting thorough evaluations. Additionally, documenting your work through publications or invention disclosures will be an integral part of the role. You will also be expected to communicate findings effectively with key stakeholders. It’s important to note that this role comes with unique challenges due to the nature of aerospace data, including quality issues, domain-specific vocabulary, and the integration of AI into safety-critical workflows.
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- Must have experience in machine learning.
- Currently enrolled in a full-time Master’s or PhD degree program in Computer Science, Electronics, Industrial, Electrical, Mechanical, or related engineering fields with a specialization in Natural Language Processing, Machine Learning, AI, or Statistics.
- Possess at least one year of experience in conducting independent research.
- Proficient in implementing algorithms, data pipelines, and solutions in Python.
- Additionally, candidates should be self-starters, comfortable working in ambiguous environments, and possess strong communication skills.
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- Preferably enrolled in a PhD program with a minimum of three years of independent research experience.
- Previous experience in training, fine-tuning (including instruction tuning), and deploying Large Language Models or vision algorithms.
- Demonstrated record of publications in top AI conferences or affiliated workshops.
- Experience handling real-world problems and data from industrial domains such as Aviation, Energy, Healthcare, or Manufacturing.
- Strong theoretical foundations in algorithm design, analysis, and implementation across various computing architectures.
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- Humble: Respectful, open to feedback, agile, and eager to learn.
- Transparent: Shares critical information, communicates candidly, and provides constructive input.
- Focused: Fast learner who can prioritize strategically and remains committed.
- Leadership Ability: Communicates effectively, makes decisions confidently, and collaborates well.
- Problem Solver: Analytical, inquisitive, and ready to challenge the status quo.
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