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  • ZDNU-Big Data Architect III  | USA-NY-3425-HS Inc: New York –Virtual  |  | 14-APR-21
    AI/ML Senior Data Scientist—  NLP (Band 2) 1(# of position 1 in US) – Contract to Hire  Want to bring our research and PoC experience to real products and scalable solutions? Talk to us.  Key Responsibilities  •	Build and lead a team of Data Scientists and Machine Learning Engineers (In US and India)  •	Work closely with the product leader and the consulting leader to define product/platform vision  •	Hands-on on AI and Deep Learning Frameworks: CNTK, TensorFlow, PyTorch  •	Interface with client ML and Business teams to demonstrate thought leadership, and drive delivery of products and solutions  •	Conduct original research on large proprietary and open source data sets  •	Identify, research, prototype and build predictive products  •	Direct creations of cutting edge models for understanding vast amounts of textual, numeric, graphic and speech data  •	Direct creations and deployment of production-ready code  •	Create framework for AI/ML code deployment to ensure robustness and reliability of production ready models  •	Responsible for understanding industry processes and incorporating them in the solution  •	Be responsible for measuring and optimizing the quality of your algorithms  •	Collaborate with engineering teams, platform teams to drive vision for AI/ML platform  •	Candidates must have customer facing experience or aspirations  •	Ability to travel  Qualifications:  Must have:  •	10+ years of experience at a top technology company ( Google, Microsoft, Twitter, Facebook, IBM )  •	Experience in building teams and managing of engineers and data scientists   •	Phd  in Computer Science, Physics, Mathematics, Statistics    •	At least one core programming expertise, such as python (NumPy, SciPy, Pandas), R, Scala  •	Strong statistical knowledge, intuition and experience applying machine learning models to real data  •	Stellar ability to communicate even the most complicated methods and results to a broad, often non-technical audience  •	Strong project management skil

    Qualifications

    s to execute multiple projects in parallel  •	Experience in deploying production ready ML code.   •	Deep understanding of the ML code development lifecycle. Ability to develop scalable deployment frameworks.  •	Experience with knowledge graphs, optimization, decision theory or signal processing  •	Strong verbal and written communication; position will involve some engagement with customers as well as internal business leadership teams  •	Strong ability to collaborate with a global development team of data scientists, engineers, operations leaders, and domain experts  •	Strong understanding of business processes  •	Ability to trave