Quattr
Location
Delhi | India
Job description
Quattr is an innovative and fast-growing AI based platform trusted by the world’s top brands for faster growth from organic and paid presence on search engines. Our technology has demonstrated strong results irrespective of the size and span of the websites. From global top 500 brands to startups, Quattr is helping each one move closer to their desired digital goals and so much more. We believe that people are our biggest asset, and we are committed to building top notch teams by servant leadership. Quattr is also committed to each of our engineers’ career growth by providing them equal opportunities in learning, mentorship and training.
You will be working in a fast-paced environment where solving business problems is the highest priority. If you are excited about working on cutting edge NLP technologies to solve real business problems, this is the job for you! What you will do: You will be responsible for the design and development of state-of-the-art NLP components on our domain data, such as information extraction, knowledge base construction, NLU, semantics, predictive analytics, and so on. You will be hands-on when building NLP/ML components for different tasks, including development of prototypes and deliverables for production. You will be working as a member of a software team with Data Scientists, Data Engineers & Full Stack Engineers in agile development. Basic Qualifications Master or Ph.D degree in computer science or related fields 4+ years of experience in NLP and machine learning, familiar with deep learning technologies Strong hands-on experience of developing NLP technologies Proficient with Python programming Experience mentoring teammates and/or leading NLP projects Good communication and team-working skills Ability to work independently with little supervision Preferred Qualifications Publications in top NLP venues (e.g., ACL, EMNLP, NAACL) Experience on unsupervised learning, semi-supervised learning, and/or weakly supervised learning Experience on multilingual NLP Familiarity with deep learning frameworks such as TensorFlow or PyTorchJob tags
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