Experienced AI-ML Engineer (Artificial Intelligence)

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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
• Strong 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 collaborative 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 pr