Experienced Software Engineer - Ai-ml (genai)

Boeing Boeing · Aerospace · Bangalore, India, India

Boeing is seeking an Experienced AI-ML Engineer (GenAI) to join their team in Bangalore. The role involves innovating, developing, and implementing next-generation AI/ML and engineering data analytics for aerospace applications. Responsibilities include developing analytics solutions for aircraft performance, operational efficiency, and engineering productivity, as well as supporting the development of future AI/ML technology directions. The role requires hands-on experience with the end-to-end ML lifecycle and building/deploying GenAI/LLM solutions.

What you'd actually do

  1. 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.
  2. 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.
  3. Help in the adoption of new tools and technology, perform Proof-of-concepts and help engagements implement & take it over.
  4. Mentor & guide junior data scientists on their technical work and growth aspirations.
  5. Working closely & collaboratively with an international team comprising software development and research engineers.

Skills

Required

  • 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.
  • Python / R studio

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.
  • Drive the MLOps lifecycle by establishing and maintaining robust pi

What the JD emphasized

  • building/deploying GenAI/LLM powered solutions
  • end-to-end ML lifecycle: data pipelines, training, deployment, monitoring, and optimization
  • building and productizing Machine Learning/Deep Learning models
  • scalable AI/ML solutions, including a focus on Large Language Models (LLMs), agentic, information retrieval systems, and advanced ML paradigms

Other signals

  • develops and implements next generation AI/ML and engineering data analytics for aerospace applications
  • 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
  • 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