About this role
Summary: The Machine Learning Intern will apply ML techniques to solve big data problems for a major travel site. Responsibilities include personalizing user experiences, building fraud detection algorithms, and performing classification and regression tasks on large datasets using tools like Hadoop and Redshift.
Company Description
Sudhaansh Enterprise is looking for Interns, Full Time & Part Time professionals in various categories like Sales, Marketing, Finance, Technology, Operations, Human Resource, Branding, Public Relations, Website Maintainence, Content Management, Customer Service Executives globally in Industries like Finance and Investment, Health and Wellness, Real Estate, Technology and Innovations, Internet Of Things (IOT), Education and Career, Travel and Shopping.
Please search and apply through the link provided below as we are updating the positions everyday.
https://jobs.smartrecruiters.com/?company=BringleExcellence
Job Description
Bringle Academy Machine Learning Intern
Stop 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.
Responsibilities
- Working with Hadoop, Redshift, and other big data systems
- Applying machine learning techniques to personalize the site experience for our users
- Building algorithms to help our review fraud team catch bad guys
- Working on various classification and regression problems over our huge database of traveller reviews and site data
Qualifications
Requirements
- Working 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 learning
- Experience working with collaborative filtering, clustering, classification, regression, and/or statistical modeling.
- Knowledge of Hadoop, Hive, Redshift or other big data tools
- Knowledge and experience of SQL and relational databases
- Fluency with statistical tools such as R or Python scikit-learn
- Proficiency in Java or C++
- Strong computer science fundamentals (data structures and complexity)
Additional Information
All your information will be kept confidential according to EEO guidelines.