Machine Learning Engineer

Year    Hyderabad, Telangana - Secunderabad, Telangana, India

Job Description


Machine Learning Scientist - II Experience: 2+ years Salary: INR 1,66,666 - 2,91,666 / month Expected Notice Period : 2 to 4 Weeks Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type: Remote Placement Type: Full-time Permanent position (*Note: This is a requirement for one of Uplers\' clients) What do you need for this opportunity Primary Skills : Ab Test Design, Online Business, SparkData Structure, Panda, Pytorch, Snowflake, Machine Learning, Problem Solving Attitude, Python, SQL Assessment: Role-based AI Screening covering Communication and Technical Skills Our Hiring Partner is Looking for: Machine Learning Scientist - II who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Roles & Responsibilities The Tripadvisor Data Science Team is looking for an exceptional experienced Machine Learning Scientist to help lead the design and implementation in our Vacation Rentals space. Our team is focused on solving problems in our marketplace matching the users searching for and the supply of accommodations on our platform. As a Machine Learning Scientist working in this space, you will have the opportunity to apply your modeling and data science skills to a number of different areas, with a particular focus on recommendations, system design, and A/B testing. At Tripadvisor, the Data Science and ML Team creates systems that influence the travel decisions of millions of people per day. It applies cutting edge machine learning techniques to a wide variety of areas, including recommenders, computer vision, and natural language processing. To ensure continued success, Tripadvisor promotes a culture of personal development, including social activities, journal clubs, memberships in online learning resources, and participation in industry conferences. Have a great time while shaping the future of travel! What You Will Be Doing: Seek out new opportunities to apply data science and machine learning to the business (e.g., personalized recommendations, customer modeling and retention) across the Vacation Rentals space Work with other teams in solving problems and identifying opportunities Lead the design of machine learning models to solve a variety of core business problems for our users and advertisers Automate ETL pipelines Prototype, evaluate, deploy and maintain new models in production Design AB tests and analyze their results Discover new ways to analyze and interpret the data Communicate progress and interpretation of experimental results to technical and business stakeholders Lead the determination of next steps for each project. Additional Notes: What is kaamwork\'s role in this arrangement Kaamwork is the on-the-ground HR partner managing services like talent sourcing, employment contracts, payroll, and compliance. Kaamwork serves as the Employer of Record while Trip managers all work-related decisions and operations. Project Requirements: Qualifications: At least 1 year of relevant, practical experience (2 preferred). PhD or Masters in Computer Science, Engineering, Statistics, or related field preferred Experience with Recommender Systems Strong background in machine learning and statistics Solid foundation on data structures and algorithms Proficiency in Python for numerical/statistical programming (our group relies heavily on Pandas/Numpy/Scikit-learn/PyTorch) Ability to write complex SQL queries Experience with big data technologies, such as Snowflake and Spark Knowledge of AB test design and analysis Track record of leading the deployment and maintenance of models Nice to Haves: Experience with online businesses. Familiarity with 2 sided marketplaces What You Are Like: Team player Loves to learn Great communication skills with both technical and non-technical partners Gets things done on time and on specification Can work independently. Interview Rounds: 3 to 4 How to apply for this opportunity Register or login on our portal & fill out the application Clear the given AI Screening (30 min) and Click on \'Apply\' to get shortlisted Our team of talent matchmakers will matchmake you with the client Crack a quick interview with our client Land your global dream job and get your exciting career started! About our Hiring Partner: Tripadvisor, the world\'s largest travel guidance platform*, helps hundreds of millions of people each month** become better travelers, from planning to booking to taking a trip. Travelers across the globe use the Tripadvisor site and app to discover where to stay, what to do and where to eat based on guidance from those who have been there before. With more than 1 billion reviews and opinions of nearly 8 million businesses, travelers turn to Tripadvisor to find deals on accommodations, book experiences, reserve tables at delicious restaurants and discover great places nearby. As a travel guidance company available in 43 markets and 22 languages, Tripadvisor makes planning easy no matter the trip type. About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. You will also be assigned to a dedicated Talent Success Coach during the engagement. ( Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don\'t hesitate to apply today. We are waiting for you!

foundit

Beware of fraud agents! do not pay money to get a job

MNCJobsIndia.com will not be responsible for any payment made to a third-party. All Terms of Use are applicable.


Related Jobs

Job Detail

  • Job Id
    JD3257965
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    Hyderabad, Telangana - Secunderabad, Telangana, India
  • Education
    Not mentioned
  • Experience
    Year