Experienced AI​/ML Engineer – Predictive Maintenance

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 BIETC and focuses on innovation, and developing & transitioning new technologies in support of Boeing products and services.

The team works across the complete product lifecycle of Boeing's commercial aircraft, military aircraft, rotorcraft, space vehicles, UAVs, and advanced vehicle prototypes, providing innovative support for current and future products and services, acting as global scouts for innovative technologies, and solving customers' most difficult technology challenges.

The Boeing AI India team has an immediate opening for an Experienced AI/ML Engineer – Predictive Maintenance. The selected individual will design and implement next generation AI/ML solutions to advance Airplane Prognostics & Health Management 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 reports to the Manager – Applied AI & Innovation. This position may require occasional (10%) travel within India and internationally.

• 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 product ionize ML models (anomaly detection, RUL, fault classification) with modern stacks (Tensor Flow, 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…