Experienced AI ML Engineer @ Boeing

Boeing India AI team has an immediate opening for an Experienced AI-ML Engineer (Artificial Intelligence) 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 Boeings 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.

• 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 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.

• 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
• 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.