Principal Data Science Manager

2 weeks ago

Hyderabad, Telangana, India Microsoft Full time

Overview

We are looking for a motivated, self-driven ML engineer/scientist leader to join our mission on power best sport experience on Bing. Essential attributes and competencies include excellence in scientific thinking and execution, ability to drive efficient experiment definition and investigations, solid skill in developing state-of-the-art machine learning algorithms and broad scope in solving NLU related ML problems.

About WWE:

WWE organization in Microsoft has the mission of "Make the web work for you". This team is comprised of several thousand software engineers working on Bing search, Edge browser, Maps, Ads, News, and other projects. Over the years we have developed deep technical expertise in various areas – Machine learning, NLP, speech, computer vision, large scale deployments and continue to innovate and delight customers across 236 regions, 106 languages and with half a billion users. Please watch on our team which will give you an insight on why you should join us.

The WWE Team, is part of Microsoft's India Development Centre(IDC) in Hyderabad, Bengaluru and Noida (and home offices at cities across the country for the time being). The team is responsible for driving the overall strategy in search and AI Platforms – spanning consumer and enterprise customers. The team's constant endeavor is to nurture an innovative, inclusive culture to enable one to build finely crafted Search & AI products and grow to be a leader. It is home to one of the largest groups of machine learning and AI talent, not just in IDC, but all of India. ​​​​​​​ Please visit our Instagram page () to get a peek into our culture.

Qualifications

B.S or M.S in Computer Science or Math(PHD in Data science + ML will be a plus) 5+ Years of experience in deep learning (extensive work on NLP is a plus) 10+ Years of industry experience. ML fundamentals: Data mining, 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 solutions. Advancing the state of the art of NLP technologies for real world scenarios. Developing novel machine learning and data mining algorithms Contribute ideas and techniques to shape decisions and improve product quality metrics. Participate in design, implementation and execution with a team of engineers, applied scientists and product managers. Collaborate with Program Managers, Architects and stakeholders for workforce planning, demand planning and end-to-end solution design Build, mentor, and lead a diverse high-performance team of Data Scientists Create clarity, generate energy and deliver the impact Ensuring compliance with Security, Privacy, GDPR etc. and performance criteria Use data and insights from customer and production to contribute to some technical design and implementation decisions Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.Industry leading healthcareEducational resourcesDiscounts on products and servicesSavings and investmentsMaternity and paternity leaveGenerous time awayGiving programsOpportunities to network and connect

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