Experienced AI/ML Engineer – Predictive Maintenance
INR 1960K-2800K (estimate) Senior-level Full Time
Tasks
- Analyze aircraft fleet operational data
- Apply MLOps for deployment and monitoring
- Apply explainable AI and federated learning
- Build and productionize machine learning models
- Collaborate with cross-functional teams
- Conduct AI testing verification and validation
- Create explainable dashboards and visualizations
- Design diagnostic and prognostic solutions
- Design edge cloud architectures
- Develop remaining useful life algorithms
- Enforce data governance, security, and compliance
- Implement anomaly detection and fault isolation
- Implement scalable telemetry storage
- Produce technical documentation and deployment playbooks
- Run proofs-of-concept and vendor evaluations
Perks/Benefits
- N/A
Skills/Tech-stack
Anomaly Detection | Classification | Cloud Computing | Data Governance | Data Lakes | Data Security | Deep learning | Docker | Edge Computing | Explainable AI | Fault isolation | Federated Learning | Generative AI | Kubernetes | Language Models | Large Language Models | MLOps | Machine Learning | Model Monitoring | Model Registry | NLP | NoSQL | NumPy | Pandas | Power BI | Privacy-Preserving Methods | Privacy-preserving | Prognostics | PyTorch | Python | RAG | Regression | Remaining useful life | Retrieval-Augmented Generation | SQL | Scikit-learn | Semantic Search | Tableau | TensorFlow | Time Series | Time-series databases | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Bachelor of Technology | Master of Science
Roles
AI | AI/ML Engineer | Engineer | Learning Engineer | ML Engineer | Machine Learning Engineer
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