Associate AI/ML Engineer – Predictive Maintenance
Tasks
- Analyze operational requirements and historical fleet data
- Apply explainable AI and privacy-preserving methods
- Assess component health and monitor aircraft subsystem failures
- Build and productionize machine learning models
- Collaborate with cross-functional teams and customers
- Deploy models using MLOps practices
- Design and prototype diagnostic and prognostic solutions
- Design explainable dashboards and visualizations
- Detect anomalies and isolate faults
- Develop algorithms for remaining useful life estimation
- Ensure data governance, security, and compliance
- Implement edge cloud architectures for telemetry analytics
- Implement federated learning for decentralized training
- Perform AI verification validation testing and robustness checks
- Produce technical documentation and deployment playbooks
- Run proofs-of-concept and vendor evaluations
Perks/Benefits
- N/A
Skills/Tech-stack
Anomaly Detection | Classification | Cloud Architecture | Data Lakes | Deep learning | Docker | Edge Computing | Explainable AI | Fault isolation | Federated Learning | GenAI | Kalman Filter | Kubernetes | Language Processing | MATLAB | MLOps | Machine Learning | Natural Language | Natural Language Processing | NoSQL | NumPy | Pandas | Power BI | Privacy-preserving | Privacy-preserving machine learning | PyTorch | Python | Regression | Remaining useful life | Retrieval-Augmented Generation | SQL | Scikit-learn | Semantic Search | Simulink | Tableau | TensorFlow | Time Series | Time-series databases | Vector Databases
Education
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