Associate AI/ML Engineer – Predictive Maintenance
INR 1860K-3000K (estimate) Mid-level Full Time
Tasks
- Analyze aircraft fleet data requirements
- Apply explainable AI privacy preserving methods and federated learning
- Apply prognostics and health monitoring techniques
- Build machine learning models for health prediction
- Create explainable dashboards and visualizations
- Design diagnostic and prognostic solutions
- Design edge cloud architectures for telemetry analytics
- Develop MLOps pipelines for model deployment
- Develop remaining useful life estimation algorithms
- Enforce data governance, security, and compliance
- Execute adversarial robustness checks and uncertainty evaluation
- Implement anomaly detection and fault isolation
- Implement time series data storage and data lakes
- Perform AI testing verification and validation
- Produce technical documentation progress reports and deployment playbooks
- Run proofs of concept pilot programs and vendor evaluations
- Run simulation and edge scenario testing
Perks/Benefits
- N/A
Skills/Tech-stack
Adversarial Testing | Anomaly Detection | Classification | Cloud Computing | Data Governance | Data Lakes | Data Modeling | Docker | Edge Computing | Explainable AI | Fault isolation | Federated Learning | GenAI | Kalman Filter | Kubernetes | LLMs | MLOps | Model Registry | NLP | NoSQL | NumPy | Pandas | Power BI | Probabilistic Modeling | PyTorch | Python | RAG | Regression | Remaining useful life | SQL | Scikit-learn | Security Compliance | Semantic Search | Tableau | TensorFlow | Time Series | Uncertainty Estimation | Vector Databases
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