Job Description

Job Description

Overview

As a leading global aerospace company, Boeing develops, manufactures and services commercial airplanes, defense products and space systems for customers in more than 150 countries. As a top U.S. exporter, the company leverages the talents of a global supplier base to advance economic opportunity, sustainability and community impact. Boeing's team is committed to innovating for the future, leading with sustainability, and cultivating a culture based on the company's core values of safety, quality and integrity.

Technology for today and tomorrow

The Boeing India Engineering & Technology Center (BIETC) is a 5500+ engineering workforce that contributes to global aerospace growth. Our engineers deliver cutting-edge R&D, innovation, and high-quality engineering work in global markets, and leverage new-age technologies such as AI/ML, IoT, Cloud, Model-Based Engineering, and Additive Manufacturing, shaping the future of aerospace.

People-driven culture

At Boeing, we believe creativity and innovation thrives when every employee is trusted, empowered, and has the flexibility to choose, grow, learn, and explore. We offer variable arrangements depending upon business and customer needs, and professional pursuits that offer greater flexibility in the way our people work. We also believe that collaboration, frequent team engagements, and face-to-face meetings bring together different perspectives and thoughts - enabling every voice to be heard and every perspective to be respected. No matter where or how our teammates work, we are committed to positively shaping people's careers and being thoughtful about employee wellbeing.

With us, you can create and contribute to what matters most in your career, community, country, and world. Join us in powering the progress of global aerospace.

Boeing AI India team has an immediate opening for an Lead Software Engineer - AI/ML to join their team in Bangalore, KA. The selected individual will co-lead a team that innovates, develops & implements next generation AI/ML and engineering data analytics for aerospace applications. He/She/They will lead & participate in projects to develop analytics solutions that helps improve aircraft performance, increase the operational efficiency of aircraft fleet operators, improve/optimize the productivity of Boeing engineering, operations & manufacturing and simulate aircraft lifecycle scenarios for potential customers. In addition, the candidate will support senior members of the team in developing future vision and direction of Boeing's technology development in the field of Artificial Intelligence, Machine Learning, image/video processing, NLP, GenAI, data analytics and their application to diverse areas relevant to Boeing.

Position Responsibilities:

Development of innovative, machine learning / deep learning models and analysis to provide actionable information that improves aircraft and fleet efficiency and performance and helps increase productivity of Boeing engineers.
Applying approaches such as novel statistical and probabilistic methods, machine learning multivariate analysis, predictive analytics and deep learning techniques to diverse areas such as airplane health management, manufacturing, automation, supply chain and more in order to add value to Boeing products.
Help in the adoption of new tools and technology, perform Proof-of-concepts and help engagements implement & take it over.
Mentor & guide junior data scientists on their technical work and growth aspirations.
Working closely & collaboratively with an international team comprising software development and research engineers. Develop and maintaining relationships / partnerships with customers, stakeholders, peers, and partners to develop collaborative plans and execute on projects.
Help in the adoption of new tools and technology, perform Proof-of-concepts and help engagements implement & take it over.
Documenting results of research and development projects, and provide inputs for periodic updates to in the form of progress reports, project summaries, and other related documents. Tracking and evaluating performance to ensure product and process conformance to project plans and project requirements.

Basic Qualifications ((Required Skills/Experience)):

Bachelor degree in Engineering, Engineering Technology ( Including Computer Science, Electronics & Communication, Information Technology ), or non-US equivalent qualifications directly related to the work statement
Experience with generative AI, large language models (LLMs), retrievalaugmented generation (RAG), LoRA/parameterefficient finetuning, and core machinelearning techniques
Hands-on experience with end-to-end ML lifecycle: data pipelines, training, deployment, monitoring, and optimization.
Excellent presentation & communication skills: Demonstrate strong written, oral, presentation and interpersonal communication skills.
Strong research background in innovating & developing technologies & solutions thru data science & analytics.

Preferred Qualifications (Desired Skills/Experience):

Master's OR higher education qualification in Engineering streams
Familiarity with agentic systems, AI product development, and multimodal model workflows (e.g., text+image or audio) is also valuable.
Track record in performing and leading research & development of highly innovative AI-driven solutions for difficult problems.
Expertise in building and productizing Machine Learning/Deep Learning models.
Design, develop, and iterate on scalable AI/ML solutions, including a focus on Large Language Models (LLMs), agentic, information retrieval systems, and advanced ML paradigms.
Apply proficiency in Python / R studio to deliver clean, efficient, and production-ready code.
Drive the MLOps lifecycle by establishing and maintaining robust pipelines.
Experience with containerization, model deployment, data management, and monitoring.
Guide teams in applying Data Science and Data Modelling techniques to drive innovation, efficiency, and automation.
Ensure timely deployment of models in a production environment.
ML experience with synthetic data generation / domain adaptation / self-supervised learning.
Solid software engineering practices: unit/integration testing, CI/CD, version control, and traceability to requirements.
Demonstrated capability to apply advanced visualization tools like Tableau, Power BI.
Be a self-starter who is not afraid to pro-actively seek information and direction to successfully complete the statement of work.
Be self-motivated and able to work independently with a positive attitude and highest ethics.
Must be willing to work flexible hours (early or late as needed) to interface with Boeing personnel around the world.

Typical Education & Experience:

Education/experience typically acquired through advanced education (e.g. Masters) and typically 10 Plus years related work experience or PHD Degree with 7+ years of experience with an equivalent combination of education and experience

Relocation:

This position does offer relocation within INDIA.

Applications for this position will be accepted until May. 17, 2026

Export Control Requirements:

This is not an Export Control position.

Education

Bachelor's Degree or Equivalent Required

Relocation

This position offers relocation based on candidate eligibility.

Visa Sponsorship

Employer will not sponsor applicants for employment visa status.

Shift

Not a Shift Worker (India)

Equal Opportunity Employer:

We are an equal opportunity employer. We do not accept unlawful discrimination in our recruitment or employment practices on any grounds including but not limited to race, color, ethnicity, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military and veteran status, or other characteristics covered by applicable law.

We have teams in more than 65 countries, and each person plays a role in helping us become one of the world's most innovative, diverse and inclusive companies. We are proud members of the and welcome applications from candidates with disabilities. Applicants are encouraged to share with our recruitment team any accommodations required during the recruitment process. Accommodations may include but are not limited to: conducting interviews in accessible locations that accommodate mobility needs, encouraging candidates to bring and use any existing assistive technology such as screen readers and offering flexible interview formats such as virtual or phone interviews.

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