Associate AI/ML Engineer – Predictive Maintenance

Boeing

IND - Bangalore, India4+ years

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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 India Engineering & Technology Center (BIETC) is based in Bangalore, India and is engaged in the development and support of advanced aerospace and aviation technologies, products, and services. Boeing Artificial Intelligence (Boeing AI) India is part of Boeing India Engineering & Technology Center (BIETC), and is focused on innovation, and developing & transitioning new technologies in support of Boeing products and services. We work across the complete product lifecycle of Boeing's commercial aircraft, military aircraft, rotorcraft, space vehicles, UAVs, and advanced vehicle prototypes. We provide innovative support for our current and future products and services, act as global scouts for innovative technologies, and solve our customers' most difficult technology challenges.

The Boeing AI India team has an immediate opening for an Associate AI/ML Engineer – Predictive Maintenance. The selected individual will design and implement next generation AI/ML solutions to advance our Airplane Prognostics & Health Management (PHM) capabilities. This role focuses on applying AI techniques to Predictive Maintenance and health monitoring of aircraft systems and subsystems.

He/She/They will co-lead & participate in projects to develop analytics solutions that help improve aircraft performance, development of Diagnostics & Prognostics solutions of Aircraft Systems, 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.

This position will be based out of Bangalore, India and will work with other colleagues located in India, United States and other global locations. This position will report to the Manager – Applied AI & Innovation. This position may require occasional (10%) travel within India and internationally.

Position Responsibilities:

Analyze requirements, historical operational data from aircraft fleets, design and prototype innovative solutions to meet diagnostic and prognostic requirements for aircraft sub-systems as per project definition.
Apply Advanced Prognostics & Health Monitoring techniques to assess the state of health, monitor component failures for aircraft systems & subsystems.
Develop and refine algorithms to estimate Remaining Useful Life (RUL) and identify early-stage degradation patterns.
Implement innovative, nonstandard approaches for anomaly detection, fault isolation and health prediction using physics, probabilistic, and machine learning based approaches in high level software (Python, Matlab/Simulink, etc.)
Support project leads to build and productionize ML models (anomaly detection, RUL, fault classification) with modern stacks (TensorFlow, PyTorch, scikit-learn) and MLOps practices (Docker, Kubernetes, model registries).
Implement edge/cloud architectures and scalable storage (time-series DBs, data lakes) to support fleet-scale telemetry and real-time analytics.
Design explainable visualizations and dashboards (Power BI, Tableau, GoJS), highlighting KPIs, model outputs and uncertainty for stakeholders.
Apply explainable AI, privacy-preserving methods, and federated learning where appropriate to protect data and enable decentralized training.
Execute AI testing, verification & validation (V&V): define test datasets and metrics, run simulation and edge scenario testing, adversarial and robustness checks, calibration and uncertainty evaluation, safety-case evidence and continuous post-deployment monitoring.
Enforce data governance, security and compliance.
Run rapid proofs-of-concept, pilot programs and vendor evaluations with clear KPIs and operational handover plans.
Collaborate with international cross-functional teams and customers to translate technical work into product and after-sales value.
Produce concise technical documentation, progress reports and deployment playbooks; track milestones and performance.

EMPLOYER WILL NOT SPONSOR APPLICANTS FOR EMPLOYMENT VISA STATUS.

Basic Qualifications (Required Skills/Experience):

Bachelor’s degree in engineering, Engineering Technology (including Manufacturing Technology), Computer Science, Data Science, Mathematics, Physics or non-US equivalent qualifications directly related to the work statement.
Demonstrated experience in data analytics, machine learning, Artificial Intelligence models and software systems.
Strong understanding of classical machine learning specifically regression and classification algorithms.
Strong knowledge of LLMs, Retrieval-augmented generation (RAG), vector DB and semantic search integrations.
Strong proficiency in Python, libraries like Pandas, Numpy and Scikit-Learn for data manipulation and statistical modeling.
Expertise working with one or more deep learning frameworks like TensorFlow and PyTorch.
Solid SQL skills, nosql databases and data modelling are required.

Preferred Qualifications (Desired Skills/Experience):

2 years of experience related to failure diagnostics & prognostics (i.e. anomaly detection, fault isolation and estimation of remaining useful life)
Specialization in Data Science, AI/ML or related discipline from a Tier 1/reputed academic institution is preferred.
Experience in Predictive Maintenance or Integrated Vehicle Health Management (IVHM)
Exposure to building Machine Learning/Deep Learning models.
NLP and GenAI skills to design language-based models, perform feature engineering, and analyze model performance.
Experience with image preprocessing techniques, such as noise removal and edge detection.
Experience with application of probabilistic modelling, reliability modelling, parameter estimation tools e.g. Kalman Filter or Metaheuristic Algorithms
Experience with digital twin, simulation & modelling of aircraft systems
Experience of prescriptive analytics or maintenance / logistics / fleet planning optimization
Experience with rigid object recognition and tracking.
Familiarity with MATLAB/Simulink or similar tools for handling physics-based simulations
Experience in DevOps & MLOps practices and managing end-to-end lifecycle of predictive models.
Excellent presentation & communication skills: Demonstrate strong written, oral, presentation and interpersonal communication skills. Be fluent in written and spoken English, and familiar with MS Office tools.
Strong research background in innovating & developing technologies & solutions through data science & analytics.
Be a self-starter who is not afraid to pro-actively seek information and direction to successfully complete the statement of work.
Be self-motivated and able to work independently with a positive attitude and highest ethics.
Must be willing to work flexible hours (early or late as needed) to interface with Boeing personnel around the world.
Masters or PhD in Data Science or related fields is preferred.
Certifications in Prognostics, health management & Aviation knowledge.

Typical Education & Experience:

Education/experience is typically acquired through advanced education (e.g. Bachelor) and typically 4 or more years' related work experience or an equivalent combination of education and experience.

Relocation: