Intern

Date Posted:

2026-05-07

Country:

India

Location:

IN-KA-BENGALURU-NORTHGATE ~ Sy No 2/2 Venkatala Village ~ SY NO 2/2 VENKATALA VILLAGE, Yelahanka Hobli

Position Role Type:

Hybrid

At RTX, the world largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world’s most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world.

Collins Aerospace is a leader in technologically advanced, intelligent solutions that help redefine the aerospace and defense industry. With a comprehensive portfolio and deep technical expertise, we help customers meet the demands of the global market. Join us and help shape the future of aerospace and defense.

We are looking for a motivated AI/ML Intern to support the development of intelligent solutions using Machine Learning, Deep Learning, and Generative AI technologies. The intern will work with engineering teams to develop data-driven models, automate workflows, and contribute to AI-based product innovation.

Key Responsibilities:

Assist in developing and testing AI/ML models and algorithms

Perform data collection, preprocessing, and analysis

Support development of computer vision, NLP, or predictive analytics solutions

Work on Python-based AI frameworks such as TensorFlow, PyTorch, or Scikit-learn

Collaborate with cross-functional teams on AI integration and deployment

Document experiments, results, and technical findings

Required Skills:

Basic knowledge of Machine Learning and AI concepts

Familiarity with Python programming

Understanding of data analysis and model training

Exposure to AI/ML libraries and tools

Strong problem-solving and analytical skills

Preferred:

Exposure to Generative AI, LLMs, or Computer Vision projects

Knowledge of Git, APIs, or cloud platforms is an advantage

Eligibility:

Pursuing BE/BTech/MS/MTech in Computer Science, AI/ML, Data Science, Electronics, or related fields.

Please ensure the role type defined below is appropriate for your needs before applying to this role. This position is classified as:

Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products.

Hybrid: Employees who are working in Hybrid roles will work regularly both onsite and offsite. Ratio of time working onsite will be determined in partnership with your leader.

Remote: Employees who are working in Remote roles will work primarily offsite (from home). If you live within a reasonable commute of an RTX site with other colleagues you interact with, your manager will discuss whether there is a degree of onsite presence associated with this role.

Candidates will learn more about role type and current site status throughout the recruiting process. For onsite and hybrid roles, commuting to and from the assigned site is the employee’s personal responsibility.

RTX adheres to the principles of equal employment. All qualified applications will be given careful consideration without regard to ethnicity, color, religion, gender, sexual orientation or identity, national origin, age, disability, protected veteran status or any other characteristic protected by law.  

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