5+ Years of experience in deep learning (extensive work on NLP is a plus)
7+ Years of industry experience
ML fundamentals:Datamining, wrangling, processing, visualization, model training, analysis.
Expertise in Designing and hands on with Coding
Software fundamentals: code + integrate models into production services.
Strong knowledge and skills in machine learning software development and architectures for machine learning (with focus on deep learning).
Research or Industry experience with one or more of following areas Natural Language Processing (NLP), Document Understanding, Information Retrieval, Natural Language Understanding.
Experience in building, deploying, and improving large scale Machine Learning models and algorithms in real-world products.
Proficiency in Python/C++ and deep learning frameworks e.g. Pytorch, Tensorflow.
Ability to synthesize the research literature, compare/contrast/critique and combine ideas into creating new ML models.
Published work in top-tier conferences & journals is a plus
Responsibilities
Build and refine machine learning models to solve NLP tasks and productizing the solutions at scale.
Staying abreast with the SOTA advancements and use them to formulate novel soutions.
Advancing the state of the art of NLP technologies for real world scenarios.