Associate AI/ML Engineer – Generative AI

Company:

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, IIoT, 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.

Position Overview:

Boeing AI India team has an immediate opening for an Associate AI/ML Engineer - Generative AI to join their team in Bengaluru, KA. The selected individual will work in a team that innovates, develops & implements next generation AI/ML and engineering data analytics for aerospace applications. He/She/They will 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 land 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 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 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.

Employers will not sponsor applicants for employment visa status.

Basic Qualifications (Required Skills/Experience):

• Bachelor’s degree in engineering, Engineering Technology (including Manufacturing Technology), Computer Science, Data Science, Mathematics, Physics or non-US equivalent qualifications directly related to the work statement.
• 4+ years of Expertise in AI software development, data analytics and experience in building/deploying GenAI/LLM powered solutions.
• 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):

• Bachelor degree in Engineering, Engineering Technology (including Manufacturing Technology), Computer Science, Data Science, Mathematics, Physics, Chemistry, or non-US equivalent qualifications directly related to the work statement.
• Track record in performing research & development of highly innovative AI-driven solutions for difficult problems.
• Expertise in building and productizing Machine Learning/Deep Learning models.
• Hands on coding and implementation, deep understanding of machine learning, Gen AI concepts.
• 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 5+ years' related work experience with Bachelor’s degree /4+ years’ related work experience with Master’s degree.

Relocation:

This position does offer relocation based on candidate eligibility within INDIA.

Language Requirements:

Education:

Relocation:

Security Clearance:

Visa Sponsorship:

Contingent Upon Award Program

Shift: