Data Science Lead - AI

GoTo Group; Singapore; Hybrid; SGD 90,000 - 130,000; Full time

Job summary

A leading technology company is seeking a passionate Lead Data Scientist to advance their multilingual AI initiatives. In this pivotal role, you will design datasets, drive innovations in AI, and ensure responsible model behavior, shaping the future of AI-driven solutions in Indonesia.

Qualifications

• 7+ years experience in deep learning, NLP, and LLM.
• Practical experience applying models in production environments.
• Strong communication skills to understand business needs.

Responsibilities

• Work with multilingual corpora, building high-quality datasets.
• Contribute to training and scaling multilingual LLMs.
• Collaborate with business/product engineers to deploy solutions.

Skills

Deep Learning

Natural Language Processing

Machine Learning

Data Preprocessing

Communication Skills

Education

Master's or PhD in Computer Science, Data Science, AI

Tools

Python

PyTorch

TensorFlow

Cloud Platforms

Job description

About the Role:

We are building Sahabat-AI, a multilingual Large Language Model tailored for Bahasa Indonesia and regional languages. We are looking for a passionate Lead Data Scientist to help shape the future of open and inclusive AI for Indonesia, as well as playing a pivotal role in identifying impactful AI use cases. As a Lead Data Scientist working on LLMs, you will design and build high-quality datasets, advanced model pre-training, fine tuning and and alignment techniques, and collaborate closely with product and engineering teams to ship safe, reliable LLM-powered features to millions of users. This role offers the opportunity to drive innovation, solve critical business challenges, and shape the future of AI-driven solutions at GoTo Group.

What You Will Do

• Work with large-scale multilingual corpora, including text, audio, and image modalities
• Build high-quality datasets for both continual pretraining,post-training (SFT, RLHF, DPO), and benchmark evaluation
• Contribute to the training and scaling of multilingual LLMs – from continual pretraining to supervised fine-tuning and alignment.
• Implement state-of-the-art methods and research for efficient and scalable operations.
• Implement and improve safety alignment and guardrail systems to ensure responsible and culturally appropriate model behaviour.
• Collaborate closely with business/product engineers to deploy production-grade LLM-powered solutions.
• Stay current with advancements in AI technologies. Frontier models, training methodologies, etc

What You Will Need

• 7+ years of experience in deep learning, NLP, and LLM
• Understanding in computer vision and voice will be a plus point
• 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 Python and deep learning frameworks such as PyTorch or Tensorflow.
• Experience with cloud platforms like Alibaba Cloud, GCP or AWS.
• 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.

About the Team:

The Sahabat-AI team is on a mission to build the most capable and culturally-aligned multilingual LLMs for Indonesia. At GoTo Group, the Sahabat-AI team is at the forefront of developing state-of-the-art language models. We are building foundational AI models that understand and generate Bahasa Indonesia and regional languages – empowering more inclusive technology. We work on everything from continual pretraining large-scale LLMs to alignment and safety fine-tuning, using both structured and unstructured data from diverse sources. Our projects span core model development, dataset curation, safety systems, and real-world deployment in consumer and enterprise applications. Our team brings together members with diverse technical and cultural backgrounds, bringing expertise in machine learning and local languages.

About GoTo Group

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.

About Gojek

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.

About GoTo Financial

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 onour 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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