Lead Engineer

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

Date Posted: 2026-07-20

 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's 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. Job Description: We are seeking a talented and motivated AI/ML Engineer with a deep passion for Artificial Intelligence, Machine Learning, and Large Language Models (LLMs). This role will involve designing, developing, and deploying intelligent, scalable, and production-grade AI applications tailored to real-world business use cases. As part of the Automated Test Equipment Development Team, the selected candidate will contribute to innovative solutions in the aerospace and defense industry, driving advancements in automation, prediction models, and decision intelligence. Responsibilities: Design, develop, train, and deploy machine learning (ML) and AI models for various use cases, including prediction, automation, natural language processing (NLP), and decision intelligence. Build and optimize applications powered by Large Language Models (LLMs), such as chatbots, document intelligence systems, summarization engines, and Retrieval-Augmented Generation (RAG) pipelines. Leverage hands-on experience with LLMs, embedding

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