SENIOR DATA SCIENTIST (DEEP LEARNING/NLP)

As a Senior Data Scientist with expertise in Deep Learning and NLP, you will be responsible for researching, designing, and developing core Artificial Intelligence (AI) and Machine Learning (ML) algorithms. Your essential skills will include working experience with various AI frameworks, such as CRFs, BERT/Transformers, and text summarization models. You should have past experience in Entity Detection and Disambiguation, Intent Detection, and deploying machine learning models in a production environment using tools like TensorFlow Serving. Your role will involve collaborating with functional domain experts, implementation teams, and AI backend teams to ensure efficient product development, production release, and development cycles. It is crucial to stay updated with the latest AI developments, including training libraries/frameworks, Reinforcement Learning, and Deep Learning, by reading and researching state-of-the-art papers in NLU problems. You will work with large datasets of support tickets and unstructured data sources, building Deep Learning models in TensorFlow for GPUs and CPUs. Additionally, collaborating with Backend Engineers to deploy your models to production will be part of your responsibilities. Your background should include a Bachelor's degree in B.E/B.Tech, with a strong industry focus on IT/Computers-Software. You must possess a good understanding of Transfer Learning concepts, Question-Answering Framework, and have experience in building production-ready NLP systems. Familiarity with Distributed systems like Docker, Kubernetes, and Azure, as well as working knowledge of Linux OS, will be beneficial for this role. If you have the passion and skills to work on cutting-edge AI technologies, this Senior Data Scientist position offers a challenging opportunity to contribute to the development of innovative NLP systems in a dynamic environment.,