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4 jobs found
Salary not specified
BangkokNot specified

The AI Expert (LLMs & Generative AI) is responsible for designing, developing, and scaling AI solutions that leverage Large Language Models (LLMs), Generative AI, and modern AI platforms to solve business challenges and create measurable value. This role works closely with business stakeholders, AI Business Partners, data engineers, and solution architects to translate requirements into production-ready AI applications, including copilots, intelligent assistants, agentic workflows, knowledge management solutions, and process automation use cases. The AI Expert evaluates emerging AI technologies, establishes technical best practices, ensures responsible AI implementation, and drives the adoption of scalable AI architectures aligned with enterprise standards, security requirements, and governance frameworks. Qualification: * Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field, with 5+ years of experience in software development, machine learning, data science, or AI engineering. * Strong expertise in Large Language Models (LLMs), Generative AI, prompt engineering, Retrieval-Augmented Generation (RAG), vector databases, AI agents, and model orchestration frameworks. * Hands-on experience with leading AI platforms and cloud services such as Azure AI, Azure OpenAI, Google Vertex AI, AWS Bedrock, or equivalent technologies. * Proficiency in Python and modern AI development frameworks, with a solid understanding of machine learning concepts, API integrations, MLOps, and enterprise solution architecture. * Strong analytical, problem-solving, and communication skills, with the ability to explain complex technical concepts to both technical and business audiences. * Experience implementing responsible AI practices, model evaluation frameworks, and production-grade AI solutions is highly desirable.

฿120,000 – ฿200,000
Bangkok, ThailandNot specified

Agoda is hiring a Senior/Staff MLOps Engineer to join its ML and AI Platform team in Bangkok, with relocation provided. The role focuses on designing, developing, and operating on-premises MLOps infrastructure built on self-managed Kubernetes and Kubeflow, supporting machine learning model delivery across the organization. Responsibilities include building scalable data pipelines, model training and deployment systems, monitoring tools, and collaborating with data scientists and software engineers. The role also involves mentoring junior team members, troubleshooting user issues, and staying current with MLOps trends. Candidates need 5+ years of relevant experience, strong programming skills, and hands-on Kubernetes expertise.

฿35,000 – ฿55,000
Bangkok, Bang Sue, ThailandNot specified

This role is based at SCG Packaging Public Company Limited (SCGP) in Bang Sue, Bangkok, supporting the packaging and manufacturing business. The Data Scientist will research and evaluate emerging Computer Vision, Image Processing, Machine Learning, and Deep Learning technologies, then develop prototypes and PoC solutions to validate feasibility and business value. Key responsibilities include building and validating CV models for defect detection, object detection, classification, segmentation, and anomaly detection; preparing and managing image datasets; and supporting deployment of models into manufacturing workflows, including edge inference and monitoring. The role collaborates closely with production, quality, IT, and business teams.

Salary not specified
Kuala Lumpur, MY; Manila, PH; Bangkok, TH; Singapore, SG; Jakarta, ID; Hanoi, VNNot specified

This role focuses on consulting for Japanese companies in Southeast Asia regarding digital transformation, specifically utilizing AI and data. The position involves transitioning clients from simple data visualization to complex analytics and applying AI across the entire value chain. Responsibilities include high-level strategy formulation, solution implementation, managed services, and training. The role requires leading mixed teams of local and Japanese Client Services members to manage projects and support client development.