Machine Learning Internship Internship in Thane

Job Description Job DescriptionBringle Academy Machine Learning InternStop Thinking Keep Bringling !!Bringle is the largest travel site in the world. We get millions of unique visitors on a monthly basis. Do you want to apply your machine learning expertise to find solutions for the largest travel site on the web Do you get excited about the prospect of working with not just big data, but huge data Would you like to work across diverse areas including personalization, fraud detection, and natural language processing Bringle Academy's Machine Learning team to works on machine learning and statistical analysis problems across several groups in the company. As a member of this group you'll use these techniques to implement new solutions and improve existing approaches to large scale data analysis. You'll be relied upon to research, design, and implement your projects. You must be comfortable communicating your approach to project managers across the company.ResponsibilitiesWorking with Hadoop, Redshift, and other big data systemsApplying machine learning techniques to personalize the site experience for our usersBuilding algorithms to help our review fraud team catch bad guysWorking on various classification and regression problems over our huge database of traveller reviews and site dataQualificationsRequirementsWorking towards a Bachelors or Master's Degree in Computer Science, Computer Engineering, Math or a related field. Advanced degree preferred.A passion for solving real world problems with machine learningExperience working with collaborative filtering, clustering, classification, regression, and/or statistical modeling.Knowledge of Hadoop, Hive, Redshift or other big data toolsKnowledge and experience of SQL and relational databasesFluency with statistical tools such as R or Python scikit-learnProficiency in Java or C++Strong computer science fundamentals (data structures and complexity)Additional InformationAll your information will be kept confidential according to EEO guidelines.