Experienced AI/ML Engineer � Predictive Maintenance

Required Qualifications

• 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.
• 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.