Data Engineer jobs in Indonesia

As a Data Scientist – Deep Learning, you’ll take on some of GoTo Financial’s most exciting AI challenges across computer vision, voice, and text. You’ll lead the development, experimentation, and deployment of advanced deep learning models that directly power and improve key financial products. This role is perfect for someone who thrives in solving high-impact problems, scaling AI solutions in production, and pushing the boundaries of what’s possible with applied deep learning.

• Work with data like images, videos, audio, and text etc.
• 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.

• 5+ years of experience in deep learning, particularly with (prio 1)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. (NLP, chat GPT)
• 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, and 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.
• A Master’s or PhD in Computer Science, Data Science, AI, or a related field.

You’ll join the GoTo Financial Data Science team — the engine behind many of our AI-driven innovations. We build deep learning solutions ranging from computer vision for our market-leading KYC system to voice and text processing models that strengthen security, automation, and user experience. Our team brings together diverse expertise across machine learning, engineering, and research, and we thrive on solving complex problems with measurable real-world impact.

GoTo Group is the largest digital ecosystem in Indonesia with its mission to “Empower Progress” by offering technological infrastructure and solutions for everyone to access and thrive in the digital economy. The GoTo ecosystem consists of on-demand transportation services, food and grocery delivery, logistics and fulfillment, as well as financial and payment services through the Gojek and GoTo Financial platforms. It is the first platform in Southeast Asia that hosts these crucial cases in a single ecosystem, capturing the majority of Indonesia’s vast consumer household.

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.

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.

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