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250+ employeesN/A


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Samirul Haque
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Machine Learning Scientist

Founded 1975
250+ employees
data mining
text mining
information retrieval
speech recognition
recommendation system
pattern recognition
Machine Learning
Location icon
Bengaluru (Bangalore), Hyderabad
Experience icon
3 - 14 years

Applied Scientist Job Loc: Hyderabad , Bangalore Division: Bing,Hyderabad / Adcenter Bangalore / Windows UST Contact email: samal@microsoft.com Bing is all about data and using it to deliver the highest quality search experience -- our mission is to empower people with knowledge. Fostered by the unprecedented availability of web data and accelerated by the recent advances in deep learning, we are now at a pivotal moment in which huge amounts of both structured and unstructured data can be mined from the web to allow search engines to connect users directly with the information they need. Our ultimate goal is to fulfill any information need on the spot, whether on a desktop or mobile device. We see the web as the most comprehensive database for powering a multitude of services across all Microsoft products, from Bing to Excel to Skype, not to mention Cortana -- all of them need data. Join our team and help us to build the next generation of applications. You will be working in a small and agile group delivering e2e experience for the users. You will have access to large clusters for massive parallel processing, the in-house deep learning infrastructure, and the whole web data and query logs to mine. We are driving the development of a new set of e2e scenarios like Cricket Predictions, and feature teams like Bing Local to improve the quality of their services, or Cortana to learn and speak a new language. There is a great sense of job satisfaction that comes from working with a team of talented scientists, researchers, and engineers on highly visible projects that directly impact millions of customers on a daily basis. We are looking for strong, self-motivated machine learning and data scientists to help develop innovative scalable solutions. As a member of the team, you will be responsible for driving end-to-end experiments based on the most recent scientific literature. To aid you in your task, you will have access to petabytes of web data, query logs, click logs, and even session logs, which you can mine using powerful cloud computing systems. Responsibilities: • Develop highly scalable classifiers and tools by influencing machine learning, data regression, and rule-based models • Create language models from petabytes of text data in different languages • Suggest, collect and synthesize requirements and create effective feature roadmaps • Work as part of product teams to implement algorithms that power user and developer-facing products • Be accountable for measuring and optimizing the quality of your algorithms • Adapt standard machine learning methods to best exploit modern parallel environments Requirements: • M.Tech/MS degree in Computer Science or related quantitative field with 5 years of relevant experience • Ph.D degree in Computer Science or related quantitative field is a plus • Experience with scripting languages such as Perl, Python, PHP, and shell scripts • Experience with recommendation systems, targeting systems, ranking systems or similar systems • Experience with Hadoop/Hbase/Pig or Mapreduce/Bigtable/AzureML a plus • Strong background in one or more of Large scale Data Mining, Machine Learning, Artificial Intelligence, Pattern Recognition or Natural Language Programming • Background in text understanding If you have similar skills set , please feel free to share your resume to samal@microsoft.com and we will review your profile and engage accordingly. *Microsoft is an equal opportunity employer. All shortlisted applicants will receive consideration for employment without regard to race, color, gender, sexual orientation, gender identity or expression, religion, national origin, marital status, age, disability, veteran status, genetic information, or any other protected status. Regards, Samirul Mallick @sourcingpower | www.linkedin.com/in/microsoft

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Samirul Haque
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