About the Open Role

We are looking for Data Scientists with a strong mathematics background with more than one complex ML project in production. You need to have a good handle on business needs and the ability to map them to analytical solutions.

What’s in it for you?

• Make a difference to cutting edge Silicon Valley AI startups 
• Execute innovation projects for our enterprise customers like Facebook, Siemens, and Roche
• Work on our own products which gives a lot of freedom to bring your ideas to the table
• If you have your own great idea, we will incubate it
• Work in a culture that values capability over experience and continuous learning as a core tenant.
• You will get to bring your ideas to the table and make a significant difference to the success of the product instead of being a small cog in a big wheel. 
• Working with Facebook AI Research (FAIR) team on core ML projects like improving Torchserve model serving and Pytorch training
• Document Comprehension Engine leveraging RNN and latest OCR techniques
• AI-driven Adaptive engineering to semi-automagically build industrial designs based on historical data
• A sophisticated Q&A system that builds a KB on the fly out of unstructured documents
• And many more.

What could make you a great candidate for this position

Mandatory Requirements

• 3-8 years of strong Data Science experience (statistics, Machine learning, and Deep learning)
• Software development skills in one or more high-level languages (Python/Java/R/Scala)
• Has a good understanding of Deep learning algorithms – RNN, LSTM, CNN, RCNN
• Expert in at least one of DL frameworks like Pytorch, Tensorflow, Keras
• Experience using encoder-decoder architecture, statistical and Transformers models 
• Semantic and syntactic analysis for pre-processing, key phrase extraction, intend and entity extraction
• Experience developing applications for NLP tasks like NLI, Q&A, Sentiment analysis
• Implementation of chatbots like Rasa, Amazon Lex is a plus