Data Scientist at Data Wow Co., Ltd.

Bangkok, , Thailand -

Full Time

Start Date

Immediate

Expiry Date

14 May, 26

Salary

0.0

Posted On

13 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, PyTorch, Hugging Face Transformers, LangChain, OpenAI API, Fine-tuning, Prompt Engineering, Vector Databases, FAISS, RAG, LLMOps, LLMs, Semantic Search, Knowledge Retrieval, Inference Optimization

Industry

IT Services and IT Consulting

Description

Job Summary: Lead and contribute to end-to-end solutions powered by Large Language Models (LLMs). Drive innovation and practical applications of LLMs to solve complex business problems. Collaborate across teams to deliver scalable, value-driven LLM systems. Responsibilities LLM-Centric Solution Development: Design, fine-tune, and implement cutting-edge LLMs for business use cases such as content generation, intelligent assistants, semantic search, or knowledge retrieval. Evaluate and select appropriate foundation models (e.g., GPT, LLaMA, Mistral) and tailor them to organization-specific domains. Build modular, scalable pipelines for LLM applications, including prompt engineering, inference optimization, and feedback loops. Collaborative Project Contribution: Work closely with Machine Learning Engineer, Data Engineer, DevOps Engineer, Developers and stakeholders to define project goals and align model capabilities with business outcomes. Translate high-level requirements into actionable LLM development plans with measurable KPIs. Support the lifecycle of LLM initiatives from experimentation to deployment. Technical Excellence: Stay current with the rapidly evolving LLM landscape, including open-source models, toolkits (e.g., Hugging Face, LangChain), and retrieval-augmented generation (RAG) frameworks. Optimize cost, performance, and latency for LLM inference at scale. Ensure reproducibility, quality, and efficiency across LLM workflows. Effective Communication & Collaboration: Present technical findings and solution designs clearly to both technical and non-technical audiences. Share knowledge and contribute to internal LLM best practices and education. Offer technical support and informal mentoring on LLM topics across teams. Bachelor’s or Master’s in Computer Science, Artificial Intelligence, Data Science, or a related field. 2+ years of industry experience in machine learning or data science, including at least 1 year focused on LLM development or deployment. Proficient in Python and frameworks relevant to LLM development (e.g., PyTorch, Hugging Face Transformers, LangChain, OpenAI API). Practical experience in fine-tuning, evaluating, and integrating LLMs into applications at scale. Familiarity with prompt engineering, vector databases (e.g., FAISS), and RAG or LLMOps pipelines. Strong analytical and problem-solving skills with the ability to work independently or in cross-functional teams. Proficient in English (spoken and written); Japanese skills are a plus but not required. Hybrid work Health insurance Annual health check Laptop and other equipments Free snacks & drinks Education allowance Performance bonus

Responsibilities

The role involves leading and contributing to end-to-end solutions powered by Large Language Models (LLMs) to solve complex business problems. Responsibilities include designing, fine-tuning, and implementing cutting-edge LLMs for various business use cases and building scalable pipelines for LLM applications.