Job Summary

:
We are seeking highly motivated final-year B.Tech/M.Tech students in Computer Science, Mechanical, or Aerospace Engineering with a solid foundation in Artificial Intelligence, Machine Learning, and Deep Learning. The intern will contribute to the development of deep learning-based prognostics solutions, including reliability modeling, predictive algorithm development, model validation, and technical documentation for aerospace applications.

Key Responsibilities:

Develop and validate deep learning models for prognostics.
Explore and integrate reliability modeling techniques.
Analyze datasets and perform predictive analytics.
Document technical findings and present results.

Basic Qualifications:

Final-year B.Tech/M.Tech in Computer Science, Mechanical, or Aerospace Engineering.
Solid knowledge of AI, Machine Learning, and Deep Learning.
Positive programming and analytical skills.
Excellent problem-solving and communication abilities.

Internship Details:

Duration: 6–8 months
Location: Bengaluru (Onsite)





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.

📌 Intern: Phm And Digital Twin Bengaluru (India)
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