Research Data scientist (ID 1350)
Posted
Summary
An AI/ML engineer and data scientist who builds and deploys real-world computer vision, OCR/document AI, and video analytics solutions end to end — from data strategy and model training to production — plus GenAI work like prompt engineering and RAG, using Python with PyTorch/TensorFlow.
We are hiring an experienced AI/ML Engineer cum Data Scientist with strong expertise in Computer Vision,
Document AI, and Generative AI. The role focuses on building real-world AI solutions—from model development
to production deployment—across image, video, and unstructured document data.
• Develop and deploy AI solutions for image understanding, OCR, document structure recognition, and
video analytics
• Build end-to-end ML pipelines: data strategy, model training, evaluation, and optimization
• Work on GenAI use cases including Prompt Engineering and RAG over unstructured data
• Optimize models for accuracy, latency, and scalability
• Collaborate with product and engineering teams to translate business problems into AI solutions
• Mentor junior engineers and contribute to AI best practices
Requirements
• Strong hands-on experience in Deep Learning and Computer Vision
• Experience with OCR, object detection, segmentation, and document AI
• Exposure to GenAI (Prompting, RAG, LLM workflows)
• Proficiency in PyTorch/TensorFlow and Python
• Experience building and deploying ML solutions in production
• Experience in industrial vision systems, document processing, or video analytics
• Exposure to semi-supervised/active learning and model optimization techniques
• Background from reputed institutes or research exposure is a plus