Experienced AI-ML Engineer (Artificial Intelligence)
Boeing
- Location
- IND - Bangalore, India
- Work model
- On-Site
- Level
- Mid
- H-1B history
- 7 approvals (FY2023)
- Posted
- 10h ago
Skills
About this role
Experienced AI-ML Engineer (Artificial Intelligence) Company: Boeing India Private Limited 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 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 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