Associate Business Intelligence Analyst(AI/ML,Generative AI & Python,1-3 years,Bangalore)

What You Will Do

Assist in developing AI/ML and Generative AI solutions for real-world business use cases.

Work with senior engineers to build LLM-based applications, chatbots, AI assistants, and knowledge solutions.

Develop Python scripts, applications, APIs, and AI solution components.

Gain hands-on experience with prompt engineering, RAG, embeddings, vector databases, and LLM integration.

Work with structured and unstructured data for basic data preparation and analysis.

Integrate AI capabilities with enterprise applications using REST APIs and other integration technologies.

Support testing, debugging, performance improvement, and deployment of AI applications.

Collaborate with UX/UI and software development teams to create simple and user-friendly AI experiences.

Support AI-enabled capabilities within enterprise portals such as Liferay.

Contribute to responsive web interfaces using HTML, CSS, JavaScript, and Bootstrap.

Participate in Agile development, code reviews, technical discussions, and documentation.

Follow enterprise standards related to security, data privacy, responsible AI, and software development.

What You Will Learn

Practical application of Generative AI and Large Language Models (LLMs).

Prompt engineering and Retrieval-Augmented Generation (RAG).

Embeddings, vector search, and AI knowledge solutions.

Python-based AI application development.

AI integration using REST APIs and enterprise platforms.

Working with structured and unstructured data.

AI application testing, evaluation, and performance optimization.

Enterprise portal technologies such as Liferay.

Modern software development practices, Agile methodologies, and Git.

Responsible AI, data privacy, and secure AI development.

How AI can be applied to solve real-world aerospace and business challenges.

Qualifications You Must Have

BE/B.Tech/ME/M.Tech in Computer Science, Information Technology, AI/ML, Data Science, or a related field.

1+ years of experience in software development, AI/ML, data science, or a related area.

Good working knowledge of Python.

Basic understanding of AI/ML, NLP, Generative AI, and LLM concepts.

Basic understanding of prompt engineering, RAG, embeddings, and vector search.

Understanding of REST APIs, JSON, HTTP, and API integration.

Basic knowledge of SQL and relational databases.

Understanding of object-oriented programming and software development fundamentals.

Basic knowledge of Git/version control.

Good analytical, problem-solving, and debugging skills.

Strong communication and collaboration skills.

Qualifications We Prefer

Exposure to LangChain, LlamaIndex, or similar AI frameworks.

Exposure to LLM-based applications, chatbots, or AI assistants.

Understanding of model evaluation, accuracy, hallucinations, and responsible AI.

Exposure to vector databases and semantic search.

Basic knowledge of Liferay Portal/DXP or enterprise web applications.

Understanding of Liferay concepts such as portlets, widgets, sites, pages, content management, roles, and permissions.

Experience integrating applications with Liferay or other enterprise platforms using REST APIs.

Knowledge of HTML, CSS, JavaScript, and Bootstrap.

Exposure to Agile development and collaborative software engineering practices.

Digital Technology

Do you want to be part of a new, exciting initiative to combine foundational IT with new digital technologies?  Our Digital Technology team is driving business efficiencies and a better customer experience by connecting technologies, people, information and processes. From making aircraft more electric, intelligent and integrated to building new software platforms such as Internet of Things, big data, artificial intelligence, and blockchain, there’s no better place to be right now than in digital. If you’re an agile thinker who enjoys utilizing modern technology to make big improvements, then you’re a perfect fit for this team. Join Collins Aerospace to help us revolutionize the aerospace industry today!

WE ARE REDEFINING AEROSPACE.

Please consider the following role type definitions as you apply for this role.

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). An employee may be expected to travel to the site location as needed.

Regardless of your role type, collaboration and innovation are critical to our business and all employees will have access to digital tools so they can work with colleagues around the world – and access to Collins sites when their work requires in-person meetings.

Some of our competitive benefits package includes:

Benefits package includes:

Meal coupons

Group Term Life Insurance.

Group Health Insurance.

Group Personal Accident Insurance.

Entitled for 18 days of vacation and 12 days of contingency leave annually.

Employee scholar programme.

Work life balance.

Car lease programme.

National Pension Scheme

LTA

Fuel & Maintenance /Driver wages

Meal vouchers

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.

Note:

Background check and drug screen required (every external new hire in the India)

Drug Screen only performed for Operations Positions

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

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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