Job Location: Bangalore/Bengaluru
Roles and Responsibilities
Are you excited by Big Data, Machine Learning and Predictive Software- Are you interested in creating new state-of-the-art solutions using Machine Learning and Data Mining techniques on Terabytes of Data to positively impact lives of millions of customers-
We are developing state-of-the-art large-scale Machine Learning Services and Applications on the Cloud involving Terabytes of data. We work on applying predictive technology to a wide spectrum of problems in areas such as Retail, Seller Services, Customer Service and so on. We are looking for talented Research Engineers (with a Masters degree in a related area) who can apply innovative Machine Learning techniques to real-world e-Commerce problems. You will join an innovative team of scientists who use machine learning and statistical techniques to create state-of-the-art solutions for providing better value to Company’s customers.
Major responsibilities :
– Use machine learning, data mining and statistical techniques to create new, scalable solutions for business problems
– Analyze and extract relevant information from large amounts of Company’s historical business data to help automate and optimize key processes
– Design, develop and evaluate highly innovative models for predictive learning
– Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation
– Research and implement novel machine learning and statistical approaches
Basic Qualifications :
– An MS in CS, Machine Learning, Operational research, Statistics or in a highly quantitative field.
– Industrial experienceMasters level thesis work in predictive modeling and analysis, predictive software development
– Strong Problem solving ability
– Good skills with Java or C++, PerlPython (or similar scripting language)
– Experience in using R, Matlab, or any other statistical software
– Strong communication and data presentation skills
Preferred Qualifications :
– Experience handling gigabyte and terabyte size datasets
– Experience working with retail or e-commerce data
– Experience working with distributed systems and grid computing
– Publications or presentation in recognized Machine Learning and Data Mining journals conferences
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