You have:

• Leverage a wide range of techniques from linguistic rules to transformers and deep neural networks in your day-to-day work
• Experience in research, experiment with and implement innovative approaches to named entity recognition, relationship extraction entity linking and classification
• Work with customer provided data to both evaluate and continuously iterate on NLP solutions
• Produce performant and production quality robust code following the best practices adopted by the product team
• Improve (in performance, accuracy etc.) existing solution to NLP problems
• An agile product mentality balancing between finding solutions that deliver high precision/recall, over simpler approaches that can give value to customers in shorter intervals.
• Passion, excitement, and real interest in what we do while being respectful of others and fun to work with
• Proven experience with
  • Python
  • Deep Learning Frameworks (Pytorch preferably, Keras optionally)
• Get involved in all stages of ML lifecycle