Machine Learning Intern - Singapore - Agoda

    Agoda
    Agoda Singapore

    1 month ago

    Default job background
    Full time $30,000 - $50,000 per year Technology / Internet
    Description
    Roles & Responsibilities
    Get to Know our Team:
    The Data department oversees all of Agoda's data-related requirements. Our ultimate goal is to enable and increase the use of data in the company through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company's culture of diversity and experimentation. The role the Data team plays at Agoda is critical as business users, product managers, engineers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the Data department, but also the reward.In this Role, you'll get to:
    • Actively participate in implementing and evaluating ML models for Natural Language Processing and Computer Vision
    • Collaborate with experienced machine learning engineers and data scientists.
    • Research new technologies and share across organizations
    What you'll Need to Succeed:
    • Demonstrable understanding of Deep Learning concepts, frameworks, and libraries.
    • Strong problem-solving skills, attention to detail, and a long-standing passion for diving into complex datasets.
    • Experience in implementing machine learning algorithms, and familiarity with statistical data analysis and predictive modeling
    • Passionate about data and ML and demonstrable interest in following Research/Papers from the academic community
    Duration of internship:
    • At least 6 months