- 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 :

- 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.