Location: Gurgaon (Onsite)
Experience: 2-5 years
Role Type: Full time
Role Summary
We are looking for a Data Scientist with strong hands-on experience in Generative AI, Computer Vision, and classical ML to join our Support & Enhancements team. You will be responsible for maintaining, retraining, and improving AI/ML models already in production, deploying GenAI solutions into enterprise environments, as well as building new ML/GenAI features for enterprise applications.
This role is execution-heavy, and you will work on real production systems across Safety, Operations, and business intelligence domains.
Key Responsibilities
Model Support & Monitoring (~50%)
- Monitor and maintain ML/CV models in production
- Retrain and fine-tune models based on current data, drift detection, or accuracy degradation
- Debug and fix data quality issues affecting model performance
- Ensure model outputs are reliable, explainable, and auditable

New AI/GenAI Development (~50%)
- Build and deploy GenAI features:
- RAG pipelines for document intelligence and search
- LLM-based summarization, extraction,



classification
- AI agents for workflow automation
- Develop and improve Computer Vision solutions:
- Object detection, image classification, OCR, video analytics
- Safety compliance (PPE detection, hazard identification, etc.)
- Build classical ML models for forecasting, anomaly detection, classification as needed
- Work with backend/full stack developers to productionize models via APIs
- Package and deploy GenAI models/pipelines; manage inference endpoints
- Configure CI/CD pipelines for GenAI artifacts and manage vector store deployments
- Conduct load testing and optimization of GenAI endpoints for production

Governance & Quality (~10%)
- Maintain model documentation, versioning, and experiment tracking
- Support audit and compliance requirements (model explainability, data lineage)
- Write and maintain test cases for model validation
Required Skills & Experience
- Generative AI (Must H

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