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Experienced AI/ML Engineer – Predictive Maintenance

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Boeing

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Location:
India , Bangalore

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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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 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.

Job Responsibility:

  • 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

Requirements:

  • 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

Nice to have:

  • 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
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

Additional Information:

Job Posted:
March 05, 2026

Expiration:
March 11, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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