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 Senior Data Platform Engineer builds the platform-services layer that turns the enterprise data platform into a product. Key responsibilities include designing and operating the API Gateway baseline, Knowledge Graph platform, Event Stream platform, Semantic Layer service, Data Product Catalogue, Vector Search Service infrastructure, Anti-Corruption-Layer Patterns Library, and the Python and TypeScript SDK framework. This role requires shipping platform capability with API contracts, SDKs, and governance baked in. Key qualifications include a Bachelor's or Master's degree in Computer Science, 8+ years of software engineering with production ownership of platform services, strong Python and TypeScript skills, API-first design discipline, and production experience with knowledge graphs, event streaming, or vector databases.
The role is a hands-on technical leadership position at the intersection of data engineering, business analytics, ML engineering, and backend engineering. The team builds pipelines and platforms to support Data Science and Performance Marketing teams in running production experiments at scale. The position requires end-to-end ownership of systems that enable rapid experiment launches and involves working with structured and unstructured data at massive scale.
Youtap Limited is a global fintech company providing digital banking and payment solutions. The Technical Support Engineer maintains the performance of platforms supporting loyalty, payments, wallets, and merchant services. The role involves solving technical problems and partnering with internal teams to ensure complex systems run smoothly. Responsibilities include providing support for fintech platforms, troubleshooting software and API issues, monitoring incidents, and documenting procedures. The position requires collaborating with engineering and product teams to investigate technical problems.
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.
The Quality Assurance Engineer Intern at Sertis will gain hands-on experience ensuring the quality and reliability of software products. The role involves performing manual and automated testing, designing and executing test cases, and identifying bugs. Interns will work alongside experienced QA engineers and developers to contribute to test automation and gain exposure to API testing, CI/CD pipelines, and modern QA tools. This opportunity allows applying academic knowledge to real-world projects while developing technical and problem-solving skills in a collaborative environment.
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).
Agoda is hiring a Lead Application Security Engineer to join its Security Department in Bangkok, Thailand, supporting security, compliance, and security operations across the company. The role sits in a fast-paced DevSecOps environment and focuses on integrating security testing into continuous deployment and integration flows, while performing design reviews, code review, and remediation at scale. The position requires strong software engineering foundations with at least 7 years of technical experience across areas such as threat modeling, secure coding, authentication, and network security, plus hands-on cloud and SDLC experience. Candidates are expected to work with microservices, web, and mobile platforms across on-premise and public cloud data centers.
This role involves designing and optimizing LLM pipelines, including retrieval and grounding, and developing RAG systems using vector databases. The engineer will build agentic workflows and function-calling systems, evaluate model performance, and diagnose failure modes like hallucinations. Responsibilities also include preparing unstructured documents for ingestion, maintaining backend components, and supporting deployment across cloud or on-prem infrastructure. Candidates must translate ambiguous requirements into structured tasks and ensure AI features are grounded and reproducible. The position requires a Bachelor's degree in a relevant field and 1-3 years of experience in data, AI, or software roles. Proficiency in Python, SQL, and at least one BI tool is required. Candidates must have hands-on experience with LLM APIs and the ability to communicate clearly in Thai with working proficiency in English.
This role involves leading a technical team to enhance the scalability, quality, and efficiency of data and machine learning processes. The engineer will design and build tools, libraries, pipelines, and platforms to support Data Science and Business teams in launching experiments in production. The position requires end-to-end ownership of systems to enable rapid production deployment. The team focuses on processing big data to help validate strategic decisions and react to a fast-changing environment.