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About the Role
As a Data Scientist specializing in deep learning at GoTo Financial, you will tackle complex challenges in computer vision, voice, and text processing. You will lead the development and deployment of advanced AI models that directly impact key business products, enhancing systems with cutting-edge deep learning models and ensuring scalability in production. This role drives innovation, solves critical business challenges, and shapes the future of AI-driven financial solutions.
Responsibilities
- Work with data like images, videos, audio, and text.
- Design, train, optimize, and deploy deep learning models with GPU.
- Develop comprehensive unit tests and documentation, and rigorously evaluate and benchmark model performance and quality.
- Communicate effectively between the business team and the engineering team to gather and implement project requirements.
- Own the end-to-end process, from defining the technical problem to deploying the solution in collaboration with engineers.
- Stay current with the latest advancements in deep learning and AI technologies.
Requirements
- 3+ years of experience in deep learning, particularly with computer vision, voice, and text processing.
- Proficient in data preprocessing, model training, evaluation, and optimisation.
- Practical experience in applying deep learning to solve real business problems, with models successfully deployed and used in production environments.
- Proficient with deep learning frameworks such as PyTorch, and familiar with Python, C++, and inference engines like NCNN.
- Experience with cloud platforms like GCP or AWS.
- Working knowledge of Android/iOS is a plus.
- Strong communication skills to understand business needs and effectively convey analytical solutions.
- Ability to write clear and concise technical documentation.
Skills
- Deep learning
- Computer vision
- Voice processing
- Text processing
- Data preprocessing
- Model training
- Model evaluation
- Model optimization
- PyTorch
- Python
- C++
- NCNN
- GCP
- AWS
- Android
- iOS
- Communication skills
- Technical documentation
Location
- Hybrid
Work Type
- Hybrid
Experience Level
- 3+ years
About the Company
- At Goto Financial, our Data Science team is at the forefront of developing cutting-edge deep learning solutions. We build advanced computer vision models for our KYC system, which is the leading KYC solution in Indonesia and is now expanding to external customers. We also create sophisticated deep learning models for voice and text processing. Our team is composed of members with diverse backgrounds, bringing expertise in mathematics, statistics, machine learning, and deep learning. We tackle some of the most challenging business problems at GoPay and are passionate about both the technical aspects of data science and the tangible impact our models have on the business.
- GoTo is the largest digital ecosystem in Indonesia. GoTo's mission is to 'empower progress' by offering technology infrastructure and solutions that help everyone to access and thrive in the digital economy. The GoTo ecosystem provides a wide range of services, including mobility, delivery, payments, financial services, and technology solutions for merchants. The ecosystem also provides e-commerce services through Tokopedia and banking services through its partnership with Bank Jago.
- Gojek is Southeast Asia’s leading on-demand platform and pioneer of the multi-service ecosystem with over 2.5 million driver partners across the regions offering a wide range of services such as transportation, food delivery, logistics and more. With its mission to create impact at scale, Gojek is committed to resolving consumer problems and raising standards of living by connecting consumers to the best providers of goods and services in the market.
- GoTo Financial accelerates financial inclusion through its leading financial services and merchants solutions. Its consumer services include GoPay and GoPayLater and serve businesses of all sizes through Midtrans, Moka, GoBiz Plus, GoBiz, and Selly. With its trusted and inclusive ecosystem of products, GoTo Financial is open to new growth opportunities and aims to empower everyone to Make It Happen, Make It Together, Make It Last.
Equal Opportunity
- GoTo and its business units, including Gojek and GoToFinancial ("GoTo") only post job opportunities on our official channels on our respective company websites and on LinkedIn. GoTo is not liable for any job postings or job offers that did not originate from us. You should conduct your own due diligence to prevent being victims of any fake job scams, if they did not originate from GoTo's official recruitment channels.