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At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. 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.
Job Responsibility:
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
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
Requirements:
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
8+ years of overall work experience with 6+ years 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
Nice to have:
Masters / Ph.D. (desired) in Computer Science, Computer Engineering or related discipline from a reputed academic institution
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
What we offer:
Competitive base pay and incentive programs
Industry-leading tuition assistance program pays your institution directly
Resources and opportunities to grow your career
Up to $10,000 match when you support your favorite nonprofit organizations