Data Scientist Intern - Singapore
About the job
SummaryBy Outscal
What You Will Do
- Work with data like images, videos and text etc.
- Design, train, quantize and deploy deep learning/computer vision models
- Develop unit tests, documentation for features, evaluating, benchmarking the prediction/quality
- Communicate with supervisor/buddy for daily activities
What You Will Need
- Knowledge of developing Deep Learning/Computer Vision and classic ML models for practical applications
- Proficiency in deep learning frameworks such as PyTorch
- Strong communication skills to understand business stakeholders' needs and effectively convey analytical results
- Ability to write clear and concise technical documentation
- Ability to work independently and collaboratively within a team
About The Company
GoTo is the largest technology group in Indonesia, combining on-demand and financial services through the Gojek and GoTo Financial brands. It is the first platform in Southeast Asia to host these two essential use cases in one ecosystem, capturing a majority of Indonesian consumer household expenditure.
GoTo’s mission is to “Empower Progress” by offering an unparalleled selection of goods and services through a comprehensive merchant and partner network and promoting financial inclusion through its leading payments and financial services business.
Similar Skill Jobs
İstanbul, Türkiye (On-Site)
İstanbul, Türkiye (On-Site)
Karnataka, India (On-Site)
Astana, Kazakhstan (Remote)
Yerevan, Armenia (Remote)
Tbilisi, Georgia (Remote)
Singapore (On-Site)
Singapore (Hybrid)
Vietnam (On-Site)
Poland (Hybrid)
Jobs in Singapore
Singapore (On-Site)
Singapore (On-Site)
Singapore (On-Site)
Singapore (On-Site)
Singapore (On-Site)
Singapore (Hybrid)
Singapore (Hybrid)
Singapore (On-Site)
Singapore (On-Site)
Singapore (On-Site)
Artificial Intelligence (AI) Jobs
Karnataka, India (On-Site)
Singapore (On-Site)
Boulevard "tsarigradsko Shose" 115, Sofia, Bulgaria (On-Site)
Sportyvna Square, Kyiv, Ukraine (On-Site)
New York, United States (Hybrid)
California, United States (Hybrid)
Canada (On-Site)
California, United States (On-Site)
British Columbia, Canada (On-Site)
California, United States (On-Site)
