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Home/Jobs/Experienced AI-ML Engineer (Artificial Intelligence)
Experienced AI-ML Engineer (Artificial Intelligence)
Boeing
Bengaluru
8+ years
Today
$60.2K–74.7K/yr
Full time
Onsite
Skills Required LLM
Gen AI
Agentic AI information retrieval systems
Machine Learning
Data Science
Python
R
MLOps
Data Modelling
AI/ML
AI
AI software development
Data Analytics
Deep Learning
Description Boeing is hiring an Experienced AI-ML Engineer to work on next-generation AI/ML and engineering data analytics for aerospace applications. The role focuses on building analytics solutions that improve aircraft performance, fleet efficiency, and engineering productivity.
Company: Boeing
Role: Experienced AI-ML Engineer (Artificial Intelligence)
Location: Bengaluru, KA
Experience
- 8+ years of expertise in AI software development and data analytics
- Experience in building and deploying GenAI/LLM powered solutions
- Hands-on experience with end-to-end ML lifecycle: data pipelines, training, deployment, monitoring, and optimization
- Strong written, oral, presentation, and interpersonal communication skills
- Solid research background in developing technologies and solutions through data science and analytics
- Typical 9+ years related work experience with Bachelor’s degree or 8+ years with Master’s degree
Qualification
- Bachelor’s degree
- Bachelor degree in Engineering, Engineering Technology, Computer Science, Data Science, Mathematics, Physics, Chemistry, or non-US equivalent qualifications directly related to the work statement
- Master’s degree
Responsibilities
- Develop analytics solutions for aerospace applications
- Improve aircraft performance and fleet operational efficiency
- Improve productivity of Boeing engineering, operations, and manufacturing
- Simulate aircraft lifecycle scenarios for potential customers
- Support senior team members in shaping future AI, ML, image/video processing, NLP, GenAI, and data analytics direction
- Document research and development results and provide progress updates and project summaries
- Track and evaluate performance to ensure conformance to project plans and requirements
Additional Responsibilities
- Apply statistical and probabilistic methods, multivariate analysis, predictive analytics,
and deep learning to airplane health management, manufacturing, automation, supply chain, and related areas
- Help adopt new tools and technology
- Perform proof-of-concepts
- Help engagements implement and take over
- Mentor and guide junior data scientists on technical work and growth aspirations
- Work closely with an international team of software development and research engineers
- Develop and maintain relationships and partnerships with customers, stakeholders, peers, and partners to execute cooperative plans
- Design, develop, and iterate on scalable AI/ML solutions
- Drive the MLOps lifecycle by establishing and maintaining robust pipelines
- Ensure timely deployment of models in a production environment
- Guide teams in applying data science and data modeling techniques
- Build and productize machine learning and deep learning models
Nice To Have
- Track record in performing research and development of highly innovative AI-driven solutions for difficult problems
- Hands-on coding and implementation
- Strong understanding of machine learning and Gen AI concepts
- Focus on Large Language Models, agentic systems, information retrieval systems, and advanced ML paradigms
- Experience with synthetic data generation, domain adaptation, or self-supervised learning
- Demonstrated capability with advanced visualization tools like Tableau and Power BI
More Skills engineering data analytics, R studio, containerization, model deployment, data management, monitoring, Tableau, Power BI, data modeling, agentic systems, synthetic data generation, domain adaptation, self-supervised learning, unit testing, integration testing, CI/CD, version control, traceability to requirements, statistical methods, probabilistic methods, predictive analytics, airplane health management, manufacturing, automation, supply chain, image processing, video processing, NLP
Other
- Boeing India Engineering & Technology Center is a 5500+ engineering workforce
- Boeing develops, manufactures, and services commercial airplanes, defense products, and space systems
- The team uses AI/ML, IIoT, Cloud, Model-Based Engineering, and Additive Manufacturing
- Variable arrangements may be offered depending on business and customer needs
- Collaboration, frequent team engagements, and face-to-face meetings are emphasized
- Relocation is offered based on candidate eligibility within India
- Employer will not sponsor applicants for employment visa status
- Shift 1 - Morning (India)
- Applications accepted until Aug. 08, 2026
- This is not an Export Control position
- Equal opportunity employer
- Accommodations may be available during the recruitment process for candidates with disabilities
- 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
- Must be willing to work flexible hours to interface with Boeing personnel around the world
- Self-starter with proactive information-seeking
- Self-motivated, able to work independently, with a positive attitude and highest ethics
Prepare for this role Recommended resources to build the skills for this position. Sponsored.
Generative AI with Large Language Models
Coursera
Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment.
Python for Everybody Specialization
Coursera
Learn Python from scratch — variables, data structures, web scraping, and databases.
Python 3 Programming Specialization
Coursera
Intermediate Python covering classes, inheritance, APIs, and data processing.
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