Experienced Ai-ml Engineer (artificial Intelligence)

Boeing Boeing · Aerospace · Bangalore, India, India

Experienced AI-ML Engineer at Boeing India to develop and implement next-generation AI/ML and data analytics solutions for aerospace applications, focusing on improving aircraft performance, operational efficiency, and engineering productivity. The role involves applying advanced ML techniques, supporting future technology vision, and collaborating with international teams.

What you'd actually do

  1. 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.
  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 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

  • AI software development
  • data analytics
  • building/deploying GenAI/LLM powered solutions
  • end-to-end ML lifecycle: data pipelines, training, deployment, monitoring, and optimization
  • presentation & communication skills
  • research background in innovating & developing technologies & solutions thru data science & analytics

Nice to have

  • Bachelor degree in Engineering, Engineering Technology (including Manufacturing Technology), Computer Science, Data Science, Mathematics, Physics, Chemistry, or non-US equivalent qualifications
  • performing research & development of highly innovative AI-driven solutions for difficult problems
  • building and productizing Machine Learning/Deep Learning models
  • coding and implementation
  • deep understanding of machine learning, Gen AI concepts
  • Large Language Models (LLMs)
  • agentic
  • information retrieval systems
  • advanced ML paradigms
  • Python / R studio
  • MLOps lifecycle
  • containerization
  • model deployment
  • data management
  • monitoring

What the JD emphasized

  • 8+ years of Expertise in AI software development
  • Hands-on experience with end-to-end ML lifecycle: data pipelines, training, deployment, monitoring, and optimization.
  • building/deploying GenAI/LLM powered solutions
  • Strong research background in innovating & developing technologies & solutions thru data science & analytics.
  • 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.

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