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.
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The Technical Product Manager will own and evolve the ML and LLM Ops platforms used across the organisation. The role involves shaping how teams build, evaluate, deploy, monitor, and scale machine learning models and LLM-powered applications. This is a deeply technical position focused on reducing the friction of building ML applications to enable faster, safer, and automated development. The manager will gather requirements from ML engineers and data scientists, identify platform gaps, and partner with engineering on architecture and API design.
The AI/ML Engineer Intern at Sertis will support the productionization of data science research and AI-driven solutions. Responsibilities include working alongside ML engineers to deploy AI models on diverse hardware platforms, building MLOps infrastructure, and writing production-grade software for model inference. The role involves contributing to generative AI projects and agentic systems while assisting in troubleshooting and technical documentation. Candidates should have a foundational understanding of machine learning concepts and the Software Development Life Cycle (SDLC).
This role involves partnering with business stakeholders to structure analytical frameworks and owning projects from scoping to delivery. The position requires building data science solutions using machine learning and AI, measuring impact through experiments, and delivering actionable insights. The role also includes mentoring team members and managing multiple projects in a fast-paced environment.
Xendit is hiring a Money Laundering Reporting Officer (MLRO) for its Thailand operations in Bangkok. The role is the appointed AML/CFT officer accountable for designing, implementing and maintaining the effectiveness of Xendit Thailand's AML/CFT, sanctions and financial crime compliance framework, and serves as the primary liaison with the AMLO, law enforcement and the Bank of Thailand. Responsibilities include overseeing CDD/EDD and ongoing monitoring, handling escalations from Merchant Operations and L1 analysts, reviewing STR investigations and filing Suspicious Transaction Reports, governing sanctions and adverse media screening, leading regulatory inspections and audits, and providing AML/CFT advisory for new payment products. Candidates need at least 8 years of AML/CFT or financial crime compliance experience, direct engagement with AMLO or similar regulators, and strong knowledge of the Payment Systems Act, AMLO requirements and FATF standards.
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.
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.