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Principle Engineer

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Onsite

Principle Engineer

RTX

Principle Engineer

Skills

SQL QueriesPythonC#PyTorchTensorFlowMachine LearningAIAWSWorkdayNLP / Natural Language ProcessingAzure

2 months ago

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Important information


Contract type:

Permanent

Work mode:

Onsite

Published on:

10 August 2026

What they need


Date Posted:

2026-08-10

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, embeddings, vector search, and RAG architectures to develop cutting-edge solutions.
  • Perform data preprocessing, feature engineering, and model evaluation to ensure accuracy, reliability, and scalability of AI systems.
  • Develop and manage end-to-end ML and Generative AI pipelines, including training, validation, versioning, deployment, monitoring, and optimization processes.
  • Work with cloud platforms (e.g., AWS, Azure) to enable scalable, data-driven AI solutions.
  • Implement AI governance, security measures, and responsible AI practices across ML and LLM systems.

Qualifications:

  • Bachelor's/Master's degree in Computer Science Engineering /Electronics and communication Engineering with 12+ yrs of experience.
  • Hands-on experience building generative AI applications using Large Language Models (LLMs).
  • Proficiency in prompt engineering, retrieval-augmented generation (RAG), and integrating LLMs with both structured and unstructured data sources.
  • Strong programming skills in Python and familiarity with ML libraries such as XGBoost, PyTorch, and TensorFlow.
  • Proficient in SQL and data handling.
  • Experience applying MLOps practices, including CI/CD for ML workflows, model versioning, and deployment pipelines.
  • Hands-on experience with tools such as LangChain, LlamaIndex, and Langraph to orchestrate agents, workflows, and multi-step AI pipelines.
  • Prior experience in the aerospace industry is a plus.
  • Knowledge of C#, as well as familiarity with National Instruments platforms such as LabVIEW, TestStand, and DIAdem, is an added advantage.

WE ARE REDEFINING AEROSPACE.

Some of our competitive benefits package includes:

  • Transportation facility.
  • Meal coupons
  • Group Term Life Insurance.
  • Group Health Insurance.
  • Group Personal Accident Insurance.
  • Entitled for 18 days of vacation and 12 days of sick leave annually.
  • Employee scholar program
  • Work life balance
  • Car lease program
  • National Pension Scheme
  • LTA
  • Fuel & Maintenance /Driver wages
  • Meal vouchers
  • And more!

Nothing matters more to Collins Aerospace than our strong ethical and safety commitments. As such, all India positions require a background check, which may include a drug screen.

At Collins, the paths we pave together lead to limitless possibility. And the bonds we form – with our customers and with each other -- propel us all higher, again and again.

Apply now and be part of the team that’s redefining aerospace, every day

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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