Machine Learning Science Lead

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 practi...