GE Aerospace – B.Tech Intern (AI Systems / Research)
Job Description
About the Job:
🏢 Company GE Aerospace
💼 Role B.Tech Intern (AI Research)
📍 Location Bangalore
⏳ Experience Freshers / Students
🔖 Job Type Internship
Job Description:
GE Aerospace is offering an exciting opportunity for B.Tech students to join as an AI Research Intern at its prestigious John F. Welch Technology Center in Bangalore. As a global leader in aviation technology, GE Aerospace is at the forefront of innovation, developing advanced systems that power the future of flight. This internship focuses on artificial intelligence, machine learning, and natural language processing (NLP), providing hands-on exposure to real-world aerospace challenges. Interns will contribute to cutting-edge research initiatives that improve operational efficiency, predictive analytics, and engineering productivity.
In this role, you will work alongside experienced scientists and engineers to design and implement AI-driven solutions, including recommendation systems and search platforms tailored for engineering workflows. You will gain practical experience in handling domain-specific aerospace data, building machine learning models, and integrating AI solutions into safety-critical systems. The internship emphasizes experimentation, evaluation, and innovation, allowing you to work on problems such as data quality, domain-specific language processing, and scalable AI system design.
GE Aerospace provides a collaborative and research-driven environment where interns are encouraged to explore, innovate, and contribute to impactful projects. You will have the opportunity to publish findings, contribute to intellectual property, and work on technologies such as Large Language Models (LLMs) and advanced analytics. This internship is ideal for students passionate about AI, research, and aerospace technology, offering a strong foundation for future careers in machine learning, data science, and advanced engineering domains.
Roles & Responsibilities:
- Develop and implement AI/ML algorithms, including NLP-based solutions, to solve real-world aerospace challenges.
- Design and build data pipelines to process and analyze domain-specific datasets for recommendation and search systems.
- Conduct experiments, evaluate model performance, and optimize algorithms for accuracy and efficiency.
- Collaborate with research scientists and engineering teams to integrate AI solutions into existing workflows.
- Work on Large Language Models (LLMs), entity extraction, and relation modeling for intelligent systems.
- Document research findings, technical approaches, and experimental results for publications or internal use.
- Address challenges related to data quality, domain-specific vocabulary, and system scalability.
- Participate in team discussions, brainstorming sessions, and knowledge-sharing activities.
- Communicate technical findings effectively to stakeholders and contribute to project decision-making.
- Continuously explore new AI techniques, tools, and methodologies to enhance research outcomes.
Requirements & Eligibility:
- Currently pursuing a B.Tech degree in Computer Science, Electronics, Mechanical, Electrical, or related engineering fields.
- Specialization or coursework in Artificial Intelligence, Machine Learning, Natural Language Processing, or Statistics.
- Strong programming skills in Python, with experience in implementing algorithms and data pipelines.
- Knowledge of machine learning concepts, including supervised learning, deep learning, and model evaluation techniques.
- Exposure to Large Language Models (LLMs), entity extraction, and few-shot or zero-shot learning techniques.
- Strong analytical and problem-solving skills to work on complex research problems.
- Ability to work independently in ambiguous and research-driven environments.
- Good communication skills to present ideas, results, and technical concepts clearly.
- Experience in data analytics, optimization, or algorithm development is preferred.
- Additional exposure to computer vision, industrial datasets, or research publications is an advantage.
Expected Salary:
The expected stipend for a B.Tech Intern at GE Aerospace in Bangalore typically ranges between ₹30,000 to ₹80,000 per month, depending on academic performance, technical expertise, and research experience. Interns also benefit from relocation assistance, mentorship from top researchers, and exposure to cutting-edge aerospace technologies.
🚨 Stop Scrolling – This Could Be Your Shortcut to Interviews
Most candidates apply to 100+ jobs and never hear back.
The real reason? They don’t know where recruiters are actually hiring from.
Our March Hiring PDF includes verified HR emails and hiring details from companies like:
Dentsu, IBM, HCL, PwC, LTIMindtree, Wipro, Cognizant, Deloitte, Capgemini, Amazon, TCS, Infosys, EPAM, EY, NTT Data, Tech Mahindra, Fractal, GlobalLogic, Coforge, UST and many more.
Inside you’ll find:
✔ 200+ Fresher Job Opportunities
✔ 2500+ Verified HR Emails & Contacts
✔ Direct Hiring + Consultancy Openings
✔ IT & Non-IT Roles
🔥 60+ students placed recently using these hiring leads
