AI/ML Engineer - Data Science

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 solutionsfrom model development to production deploymentacross image, video, and unstructured document data. Key Responsibilities : - 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. Required Skills : - 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. Preferred : - 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. 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 solutionsfrom model development to production deploymentacross image, video, and unstructured document data. Key Responsibilities : - 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. Required Skills : - 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. Preferred : - 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.