Experienced AI/ML Engineer – Predictive Maintenance
Bengaluru, Karnataka
INR 2771K-4500K (estimate) Senior-level Full Time
Tasks
- Analyze requirements and historical fleet data
- Apply explainable AI privacy preserving methods and federated learning
- Apply prognostics and health monitoring techniques
- Build and productionize machine learning models
- Collaborate with cross-functional teams and customers
- Create technical documentation and deployment playbooks
- Design and prototype diagnostic and prognostic solutions
- Design edge cloud architectures for fleet telemetry
- Develop explainable dashboards for KPIs
- Develop remaining useful life estimation algorithms
- Enforce data governance, security, and compliance
- Execute proofs of concept and vendor evaluations
- Implement MLOps for model deployment
- Perform anomaly detection fault isolation and health prediction
- Run AI testing verification and validation
Perks/Benefits
- N/A
Skills/Tech-stack
Adversarial Testing | Anomaly Detection | Calibration | Classification | Cloud Architecture | Compliance | Data Governance | Data Lakes | Data Security | Deep learning | Docker | Edge Computing | Explainable AI | Fault isolation | Federated Learning | GenAI | Kubernetes | LLMs | Language Processing | MLOps | MLOps model registry | Machine Learning | Model Registry | Natural Language | Natural Language Processing | NumPy | Pandas | Privacy-Preserving ML | Privacy-preserving | PyTorch | Python | RAG | Regression | Remaining useful life | Retrieval-Augmented Generation | Robustness | SQL | Scikit-learn | Semantic Search | TensorFlow | Time Series | Time-series databases | Uncertainty Quantification | Vector Databases
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