Job Title

Responsibilities:- Research: Stay up-to-date with the latest research in NLP/NLU space and work on various problems like topic modeling, machine translation, token classification / NER, semantic understanding and knowledge graph. - Design: Take ownership for pythonic applications within the team and work independently to ensure its launch, improvement and maintenance and participate in product design discussion and decisions. - Implement: Enhance current product features and proactively develop new features which have a reasonable value proposition for the end-user and suggest improvement and optimizations in deployed algorithms and implement the same while participating in agile development. - Collaborate: Partner with product managers to make data driven decisions and help solve problems for end-users as well as other data science teams to establish and follow organizational best practices. - Leadership: Perform technical reviews and bring overall leadership within the team and provide mentorship and training to junior team members.Requirements:- B.Tech / M.Tech from a top-tier engineering college with a strong mathematical background. - 3+ years of experience in Machine learning, 2+ years of experience working with NLP/NLU based technologies. - Experience in machine / deep learning frameworks such as TensorFlow, Keras, Pytorch and good knowledge of CNN, RNN/LSTM/GRU, Transformer Models, Transfer Learning, Ensemble Learning as well as classical ML techniques like LDA, SVD and Clustering. - Strong Python programming skills and familiarity with back-end development / devops-Flask, uWSGI, MySQL, Celery, Docker will be a plus. - Bonus: Prior experience with AWS related services and familiarity with platforms like MLFlow for managing ML lifecycle and experimentation. - Strong problem solving skills and readiness to learn new concepts and apply them to find practical solutions to complex problems - Ability to work in a fast-paced start up with strict deadlines - Reasonable communication and teamwork skills