Major Duties and Responsibilities

1. Model Development and Implementation

- Design, develop, and optimize machine learning models for forecasting, risk analysis, and decision support
- Implement predictive models for hazard detection, impact estimation, and early warning systems

2. Data Engineering and Processing

- Collect, clean, and preprocess large datasets including meteorological, hydrological, and geospatial data
- Develop data pipelines for real-time and batch data processing

3. Integration with DSS and IBF Systems

- Integrate AI/ML models into web-based decision support systems and operational platforms
- Collaborate with full stack developers and GIS experts to embed analytics into dashboards and applications

1. Model Deployment and MLOps

- Deploy models using APIs and containerized environments
- Implement monitoring, logging, and performance tracking for deployed models
- Ensure reproducibility, scalability, and reliability of AI/ML solutions

5. Advanced Analytics and Innovation





- Explore and implement advanced techniques such as deep learning, ensemble modeling, and uncertainty quantification
- Support development of impact-based forecasting methodologies using AI/ML approaches

6. Documentation and Capacity Building

- Prepare technical documentation, model reports, and user guidelines
- Conduct training and knowledge transfer sessions for internal teams and stakeholders

7. Additional Responsibilities

- Perform other tasks as assigned by the supervisor in line with project needs and priorities.

Deliverables:

- Deployed AI/ML models integrated into DSS platforms
- Clean, structured, and version-controlled datasets and code repositories
- Model performance reports and validation results
- APIs and services enabling model integration with applications
- Technical documentation and training materials
- Periodic progress reports aligned with project timelines

📌 AI/ML Developer (Chennai)
🏢 Rimes International
📍 Chennai