Job profile: Develop and enhance OCR (optical character recognition) systems Explore and integrate alternative libraries DocTR by Mindee for end-to-end document analysis. Implement OpenCV or other Computer Vision libraries for enhancing images to read from documents. Implement and fine-tune document understanding models such as Layout LM and YOLOv 8 integrating visual, textual, and layout information from documents for improved classification and extraction. Utilize NLP techniques and tools, including NLTK and Hugging Face. Design and apply Neural Networks using frameworks like TensorFlow, Keras, and PyTorch for tasks in image segmentation, object detection, and image classification. Develop and maintain ETL project using python libraries of pandas, numpy. Develop tactical automations using python Robo framework. Develop and maintain python codes for use in RPAs frameworks. Engage in Deep Learning projects, leveraging advanced architectures to solve complex problems in computer vision and natural language processing. Collaborate with cross-functional teams to integrate AI models into broader systems, ensuring robustness and scalability. Manage the entire data lifecycle from collection and pre-processing to modelling Post-analysis in a production environment.Technical skills: Python, NLTK, Sklearn, tensoor Flow, pyTorch, NLP technology, Git,OCR, layoutLM, YOLOv 8, Keras, artificial intelligenceSoft skills: Good communication skills, leadership skills, interpersonal skills, analytical skills, , interpersonal skillsEducational Qualification: Master degree in Computer Science, Artificial intelligence or related fieldExperience: 5 - 7 years of relevant experience