Senior individual contributor role leading the design and improvement of machine learning-powered solutions in a production environment. The position focuses on complex user-facing AI systems, driving experimentation and model improvement, and collaborating with cross-functional teams to turn ambiguous problems into scalable solutions. The role requires proven experience as a Staff Data Scientist, Applied Scientist, or ML Engineer with end-to-end ownership of ML or LLM initiatives. Candidates need strong hands-on experience with ML platforms in production, solid fundamentals in machine learning and statistics, and the ability to communicate complex technical ideas to diverse stakeholders. An advanced degree in a quantitative discipline is preferred.
ค้นหาและสำรวจตำแหน่งงาน
This role leads AI-driven transformation across Shopee Express (SPX) operations in Bangkok. The Special Projects professional will identify and prioritize AI and automation opportunities, lead end-to-end transformation projects from business case to nationwide scaling, and apply AI, predictive analytics, and automation to improve manpower planning, parcel forecasting, route optimization, and sorting productivity. The position partners with Operations, Technology, Product, Data Analytics, and Regional teams to translate business requirements into practical AI-powered solutions, while establishing KPIs and measuring ROI. Candidates need 3–7 years in strategy, project management, or transformation roles, strong analytical and stakeholder management skills, and familiarity with AI, machine learning, or data analytics tools.
Sertis, an ASEAN data and AI engineering and solutions company based in Bangkok, is hiring a Data Scientist Intern. The intern will gain hands-on experience applying data and machine learning to real-world problems, working alongside experienced data scientists to explore data, develop and evaluate models, and communicate findings. Projects may involve LLMs and agentic AI, time series forecasting, or computer vision. Main duties include exploring, cleaning, and analyzing data to identify useful patterns; building, training, and evaluating machine learning or deep learning models; documenting experiments and sharing recommendations; and collaborating with the team on practical AI solutions. Candidates should be current Bachelor's students in Data Science, Computer Science, AI, Statistics, or a related field with a foundation in Python, data analysis, and machine learning concepts.
This role involves designing, building, and improving large-scale machine learning systems for automated optimization and decision-making. The position requires a hands-on technical leader who combines software engineering fundamentals with machine learning expertise. Responsibilities include designing processing pipelines, developing production-grade systems, and taking end-to-end ownership of machine learning solutions from design through deployment and monitoring.
RWS TrainAI is hiring AI Data Specialists to support the improvement of AI-generated content in Thai on a freelance, work-from-home basis. The part-time role requires a flexible schedule of 10+ hours per week with an immediate start date and a rate of 8 USD per hour (rates vary by country). Responsibilities include data collection, evaluation, and annotation, pairwise comparisons, counting tasks, and object tagging and labeling across audio, video, images, or other collected data. Candidates must have native-level Thai fluency and fluent or advanced English proficiency (B2–C2), with experience in machine learning tasks, data collection and preprocessing, data evaluation, or data annotation preferred.
Deloitte Southeast Asia is hiring a Manager for its Japanese Client Services team within Engineering, AI & Data, focused on the Resources, Energy & Industrials sector. The role leads consulting projects for Japanese clients investing in Southeast Asia, covering business and market entry strategy, M&A and alliances, digital transformation, IoT/AI in manufacturing, data management, RPA/machine learning, and ERP/CRM implementations such as SAP, Salesforce, and Microsoft. The Manager leads mixed local and JCS teams, drives proposal and business development, and supports clients on digitalization, operational efficiency, and value-added enhancement. Candidates must have consulting experience with expertise in strategy, marketing/DX, or technology, plus native-level Japanese and business-level English (or vice versa), interest in energy, materials, or industrial machinery, a track record of winning projects through proposals, project leadership experience, and Southeast Asia consulting experience.
Makro PRO, the digital B2B e-commerce venture of Makro in Thailand, is hiring an AI Engineer to build production-grade machine learning systems that improve search and recommendation experiences for its platform users. The role involves researching and developing deep learning models, building Thai language NLP solutions, training models on GPU infrastructure, integrating models into Python and Node.js backends via REST APIs, and deploying scalable ML pipelines in collaboration with data and backend engineers. Candidates should hold a Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field, with proven experience as an ML, Deep Learning, or Applied ML Engineer, ideally in search, ranking, or recommendation systems. Required skills include Python, SQL, TensorFlow or PyTorch, knowledge of CNNs, RNNs, Transformers, Siamese networks, XGBoost, and Learning to Rank, plus backend experience with FastAPI, Flask, or Node.js, and familiarity with Git, AWS, Docker, and CI/CD pipelines.
Deloitte is seeking a graduate analyst for its Engineering, AI & Data portfolio in Thailand. The role supports project teams applying emerging technologies to help clients use data for actionable insights and business outcomes, while collaborating with consulting teams on practical and visionary client solutions. The analyst helps design data structures, analytical models, and BI/DW reporting solutions; supports data integration, governance, data quality, MDM, and metadata management; and applies predictive models using tools such as DataRobot, Python, or R. Candidates must be final-year students or recent graduates with up to two years of experience, a relevant degree, programming proficiency, and an understanding of AI and machine learning.
The Senior Machine Learning Engineer I works within the Finance Transformation team at CP Axtra. The role involves building and operating AI and LLM-powered features to automate and augment finance processes across Makro and Lotus's. Key duties include evaluating large language models for accuracy and reliability, designing evaluation frameworks, and implementing quality guardrails for sensitive financial data. The engineer will also build backend services and APIs that integrate LLMs with finance systems like Oracle Fusion, architect scalable systems for chat interfaces and retrieval pipelines, and monitor AI features in production to address model drift and latency issues. The position requires strong engineering fundamentals, experience deploying AI features into production, and the ability to collaborate with Finance and cross-functional teams.
CP Axtra (Makro) is hiring a Senior Data Scientist based in Nawamin, Bangkok, to design and deliver AI, machine learning, and automation solutions supporting retail and digital transformation initiatives. The role builds scalable data pipelines, feature engineering workflows, and predictive models, and applies machine learning, statistical analysis, forecasting, and experimentation to business problems. The Senior Data Scientist implements MLOps practices including deployment, monitoring, retraining, and CI/CD, develops GenAI/LLM applications and automation tools, and works in Agile/Scrum ceremonies. Candidates need a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field, 5+ years of experience in Data Science, ML, or Applied AI, strong Python and SQL skills, and hands-on experience with frameworks such as Scikit-learn, TensorFlow, or PyTorch, plus PySpark and Azure Databricks.