About this role
- Why LINE MAN Wongnai
- LINE MAN Wongnai is one of Thailand's fastest-growing technology companies, operating three core business groups: On-demand Services under the LINE MAN brand, the leader in food delivery, mart delivery, messenger, transportation, and telepharmacy; Merchant Digital Solutions under the Wongnai brand, the leading provider of POS and digital solutions for merchant management, beauty, and wellness clinics; and Pay & Financial Services under the LINE Pay brand, an integrated online and offline payment platform.
- As a data and AI-driven company, our mission is to Digitalize Everyday Life Services, guided by our core values: Innovate Faster, Go Deeper, and Respect Everyone. Together, we power a digital ecosystem that serves 10 million users, 520,000 active online and offline merchants, and over 290,000 active riders and drivers nationwide.
- We are currently seeking a Data Scientist (Applied AI Research) to join our team. In this pivotal role, you will bridge the gap between emerging AI techniques and scalable production solutions. You will explore cutting-edge open-source models, experiment with fine-tuning techniques, and build harnesses while maintaining a grounded focus on business impact. This role requires an inquisitive research mindset paired with strong AI and software engineering fundamentals.
- Join us, and you'll work alongside talented, driven people who take real ownership from day one. Here, your work won't just move a project forward, it'll shape how millions of people live every day.
- What you’ll Do:
- Collaborate closely with engineering teams to design and deploy end-to-end LLM applications that drive measurable business impact.
- Implement scalable LLMOps workflows to streamline model training, deployment, monitoring, and ongoing optimization in production.
- Evaluate, test, and benchmark frontier and open-source LLMs to identify high-value applications across our product ecosystem.
- Adapt and fine-tune pre-trained models using domain-specific datasets and modern optimization techniques.
- Establish robust evaluation frameworks, testing harnesses, and monitoring infrastructure to ensure AI models optimize for accuracy, latency, safety, and cost efficiency.
- Stay at the forefront of AI research, continuously evaluating emerging tools, architectures, and methodologies to enhance engineering practices.
- What you’ll Need:
- Bachelor’s, Master’s, or Ph.D. in Computer Science, Data Analytics, Statistics, or a related quantitative field.
- 2–5 years of experience in data science, machine learning, or applied research.
- Solid foundation in statistics, probability, machine learning algorithms, and large language models (LLMs).
- Hands-on experience with some modern AI tooling and frameworks (e.g., vLLM, LangChain, or similar execution engines).
- Strong problem-solving skills, strong sense of ownership, and a passion for translating experimental research into production-grade systems.
- Excellent communication skills with both technical and non-technical stakeholders, with a proven ability to build and foster collaborative relationships.
- Ability to thrive in a dynamic, fast-paced environment and apply disciplined risk control to deliver high standards under constraints.
- Fluency in both English and Thai.
- It’d be Great if you have: (if any)
- Demonstrated experience deploying and optimizing LLM serving architectures for high-concurrency, low-latency production applications.
- Extensive hands-on experience training, post-training, fine-tuning (e.g., LoRA, QLoRA), and aligning (e.g., RLHF, DPO) large language or multimodal models.
- Familiarity with modern Retrieval-Augmented Generation (RAG) frameworks, vector databases (e.g., Pinecone, Milvus, Qdrant), and advanced retrieval techniques.
- Experience building agentic workflows, function calling pipelines, or multi-agent orchestration systems.
- Proven track record of publishing research papers at top-tier AI/ML conferences or journals.
