Lead AI/ML Engineer – Predictive Maintenance Job at Boeing (Bangalore)

Job Description

At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The selected individual will lead cross-functional teams to determine, define and deploy complex predictive/prescriptive analytics solutions to advance our Airplane Prognostics & Health Management (PHM) capabilities. This role focuses on applying AI/ML techniques to Predictive Maintenance and health monitoring of aircraft systems and subsystems.

Job Responsibility

Perform project lead role for AI app development: translate requirements into actionable tasks, coordinate cross-functional teams, and manage agile/scrum processes to ensure timely delivery
Liaise with stakeholders, report progress and risks, prioritize backlog, and ensure implementation quality and alignment with business objectives
Analyze requirements, historical operational data from aircraft fleets, design and Architect 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.)
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
Drive test-driven development process
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
Track milestones and performance and timely report to Management
Create valuable Innovation by harvesting invention disclosures from work statements, contribute to patent filings and research publications

Requirements

Bachelor’s degree in engineering, Engineering Technology (including Electrical,Electronics, Mechanical, Aeronautics, Information Science), Computer Science, Data Science, Mathematics, Physics or non-US equivalent qualifications directly related to the work statement
Related work experience in Data science, machine learning or advanced analytics algorithm development related to failure diagnostics & prognostics (i.e. anomaly detection, fault isolation and estimation of remaining useful life)
Strong expertise in classical machine learning specifically regression and classification algorithms
Strong NLP and Generative AI expertise in designing language-based models, performing feature engineering, analyzing model performance, and integrating LLMs, retrieval-augmented generation (RAG), vector databases, knowledge graphs, and semantic search
Strong proficiency in Python, libraries like Pandas, Numpy and Scikit-Learn for data manipulation and statistical modeling
Expertise in working with one or more deep learning frameworks like TensorFlow and PyTorch
Solid SQL skills, nosql databases and data modelling are required
Experience in DevOps & MLOps practices and managing end-to-end lifecycle of predictive models

Nice to have

4+ years of experience related to (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
Track record in performing and leading research & development of highly innovative AI-driven solutions for difficult problems
Experience with Predictive Maintenance or Integrated Vehicle Health Management (IVHM)
Expertise in building and productizing Machine Learning/Deep Learning models
Experience with rigid object recognition and tracking
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
Signal processing & rotary machine health monitoring
Experience of prescriptive analytics or maintenance / logistics / fleet planning optimization
Familiarity with MATLAB/Simulink or similar tools
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
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
Certifications in Prognostics & Diagnostics & Contributions to leading research journals or conferences in Prognostics & Health Monitoring, Airplane Health Management preferred
TOGAF certification preferred

What we offer

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
Relocation based on candidate eligibility within India

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Lead AI/ML Engineer – Predictive Maintenance

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