Responsibilities:

• Design and develop advanced NLP pipelines for intelligent processing of unstructured data from varied sources
• Design and implement structured representations of extracted information, such as knowledge graphs
• Design, execute and evaluate R&D experiments to develop AI solutions to complex problems
• Work on deep learning and transformer-based model architectures
• Enhance OCR, entity recognition, enrichment and classification techniques
• Prepare large-scale datasets and use them to train, fine-tune and evaluate machine learning models
• Design and build intuitive and insightful dashboards for algorithm prototyping, data visualization, and performance monitoring
• Write efficient and well-documented APIs to expose the functionality of AI solutions to internal and external stakeholders
• Collaborate with cross-functional teams, including Data Scientists, Software Engineers, and Product Managers, to gather requirements and implement AI solutions.
• Stay updated with the latest advancements in AI - specially NLP, Knowledge graphs and Advanced RAG

Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 01-03 experience in designing and developing AI solutions - with a strong focus on NLP.
• Strong proficiency in Python, and familiarity with relevant libraries/frameworks (spaCy, NLTK, LangGraph etc) as well as software engineering principles.
• Familiarity with LLMs, knowledge graphs, graph databases and semantic search.
• Familiarity with OCR and text extraction frameworks.
• Excellent problem-solving skills and a strong analytical mindset.
• Knowledge of data visualization tools and techniques, and experience in designing dashboards for algorithm prototyping and model monitoring.
• Experience in building scalable and efficient APIs for AI pipelines.
• Ability to work effectively in a collaborative, cross-functional team environment.