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.

At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world. Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide. No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us. The Data department oversees all of Agoda’s data-related requirements. Our ultimate goal is to enable and increase the use of data in the company through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company’s culture of diversity and experimentation. The role the Data team plays at Agoda is critical as business users, product managers, engineers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the Data department, but also the reward. We are looking for ambitious and agile data scientists that would like to seize the opportunity to work on some of the most challenging productive machine learning and big data platforms worldwide, processing some 600B events every day and making some 5B predictions. As part of the Data Science and Machine Learning (AI/ML) team you will be exposed to real-world challenges such as: dynamic pricing, predicting customer intents in real time, ranking search results to maximize lifetime value, classifying and deep learning content and personalization signals from unstructured data such as images and text, making personalized recommendations, innovating algorithm-supported promotions and products for supply partners, discovering insights from big data, and innovating the user experience. To tackle these challenges, you will have the opportunity to work on one of the world’s largest ML infrastructure employing dozens of GPUs working in parallel, 30K+ CPU cores and 150TB of memory. In This Role, You’ll Get to * Design, code, experiment and implement models and algorithms to maximize customer experience, supply side value, business outcomes, and infrastructure readiness. * Mine a big data of hundreds of millions of customers and more than 600M daily user generated events, supplier and pricing data, and discover actionable insights to drive improvements and innovation. * Work with developers and a variety of business owners to deliver daily results with the best quality. * Research discover and harness new ideas that can make a difference What You’ll Need to Succeed * 4+ years hands-on data science experience. * Excellent understanding of AI/ML/DL and Statistics, as well as coding proficiency using related open source libraries and frameworks. * Significant proficiency in SQL and languages like Python, PySpark and/or Scala. * Can lead, work independently as well as play a key role in a team. * Good communication and interpersonal skills for working in a multicultural work environment. It’s Great if You Have * PhD or MSc in Computer Science / Operations Research / Statistics or other quantitative fields * Experience in NLP, image processing and/or recommendation systems * Hands on experience in data engineering, working with big data framework like Spark/Hadoop * Experience in data science for e-commerce and/or OTA We welcome both local and international applications for this role. Full visa sponsorship and relocation assistance available for eligible candidates.

About Agoda At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world. Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide. No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us. Get to Know Our Team The Engineering department oversees all Agoda’s ML and software related requirements. Our goal is to enable and increase Agoda’s business through creative approaches and the implementation of powerful resources such as operational and analytical databases, ML driven solutions, queue systems and data monitoring tools. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company’s culture of diversity and experimentation. The role the engineering team plays at Agoda is critical as business users, product managers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the ML engineering squad, but also the reward. We work across structured and non-structured data at scale. For example, our current ML models process millions of images every day to try and enhance the experience that our users get from our app. Why Agoda Engineering Team? Our engineering team is at the intersection of Data Engineering, Business Analytics, ML Engineering, and Backend Engineering. We focus on software engineering related to processing big data, helping the Data Science team and Performance Marketing team launch experiments by providing our users with ML/data pipelines/platforms/tools to enable our company to validate strategic decisions, make smarter choices, and react to the fast-changing world. We are a small but passionate team with people from different nationalities working together on a single goal. In this Role, you will get to: * Lead the team technically in improving scalability, quality, accuracy, speed, and efficiency of our existing Data and ML processes * Able to analyze data to help us make better decisions * Design/build/test tools, libraries, pipelines, and platforms to help Data Science and Business team to launch experiments in Production * Work with experienced engineers and product owners to identify and build tools to automate many large-scale data management / analysis / ML tasks * We believe in end-to-end ownership; this role will involve taking and building systems that enable us to launch experiments in production at a rapid pace What You’ll need to Succeed: * Bachelor’s degree in computer science/information systems/engineering/related field 6+ years of experience in software engineering with at least 4+ years in data/ml engineering * Expert in designing/writing/maintaining data pipelines and systems while ensuring data quality * Expert in SQL, Python3, and JVM based programming language – ie, Java or Scala * Expert in software design/design patterns/best practices, functional programming and object-oriented programming. * Be comfortable navigating the following technology stack: Python3, Scala Spark, Hadoop, SQL, S3 etc. * Familiar with general Machine Learning concepts and common models – ie, regularization, Tree Models, etc * Familiar with statistical analysis concepts – ie, p-value, z-score, etc * Analytical problem-solving capabilities & experience. A strong data-driven engineering driven mindset will be required to succeed in this role. It’s great if you have: * Good understanding of Hadoop ecosystems and Big Data architecture and technologies * Experience with Scala/Scala Spark development * Working in an agile environment using test driven methodologies * Systems administration skills in Linux Benefits * Hybrid Working Model * WFH Set Up Allowance * 30 Days of Remote Working from anywhere globally every year * Employee discount for accommodation globally * Global team of 90+ nationalities * 40+ offices and 25+ countries * Annual CSR / Volunteer Time off * Benevity Subscription for employee donations * Volunteering opportunities globally * Free Headspace subscription * Free Odilo & Udemy subscriptions * Access to Employee Assistance Program (third party for personal and workplace support) * Enhanced Parental Leave * Life, TPD & Accident Insurance Please review our Hiring Process Guidelines before your interview — click [here](https://careersatagoda.com/interview/)to learn how interviewing at Agoda works. Equal Opportunity Employer At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics. We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our [privacy policy](https://careersatagoda.com/privacy-statement). Disclaimer We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee. Apply Now Senior/Staff Data Engineer – Bidding (Bangkok based, relocation provided) +93 Given that the majority of our team is based in Bangkok, would you be open to relocating there? We offer visa sponsorship and comprehensive relocation assistance. Do you as a candidate have a personal relationship with a current Agoda employee? If yes, please indicate how you know the employee? What is the employee’s name? Have you read our Engineering blog? (https://medium.com/agoda-engineering) Are you presently employed by any company within the Booking Holdings group, including but not limited to Kayak, OpenTable, Booking.com, Rental Cars, RocketMiles, FareHarbor, HotelsCombined, CheapFlights, Momondo, Priceline, or Getaroom? In which country/region are you currently based? Do you allow us to provide you TEXT/SMS updates of your interview process? We may engage with a service provider to do so. How did you hear about this job? Do you agree to Agoda’s use of personal data from your application to improve our recruitment experience? We may collaborate and share your data with third-party providers for recruitment purposes and you may ask to remove your data at any time. We collect your gender information for diversity, equity & inclusion monitoring purposes. It is entirely voluntary to answer the question below. By choosing “prefer not to disclose”, your candidacy will not be impacted. To avoid actual or perceived impairment of our parent company’s independent auditor – Deloitte and to comply with applicable regulations of Securities and Exchange Commission of the United States, we need to seek approvals from our parent company before starting the interview process. With this, please confirm if you are currently or formerly have been associated with Deloitte or any of its subsidiary entities at any time including but not limited to any time as a direct employee, director, contractor, major shareholder, intern etc.? Email me about other job openings within the Booking Holding’s entities and recruitment-related newsletters

You will lead the strategic direction and product roadmap for AiNU, an AI-powered digital identity verification platform. Your role involves defining the product vision, managing the backlog, and driving the full product lifecycle from concept to launch. You will collaborate closely with cross-functional teams, including AI/ML engineers and UX designers, to deliver high-quality, customer-centric solutions. Additionally, you will gather market insights, analyze competitors, and ensure successful product launches in partnership with Sales and Marketing teams. This position requires balancing business goals, technical feasibility, and customer value to drive innovation in the identity verification space. You will act as the primary bridge between business stakeholders, customers, and engineering teams, ensuring clear communication and alignment throughout the development process. By monitoring product performance using KPIs and customer feedback, you will continuously optimize the user experience. Staying current with industry trends, AI/ML advancements, and regulatory compliance requirements is essential to maintaining a competitive edge in the market.

At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world. Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide. No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us. **Technical Product Manager – ML & LLM Platforms** **The Opportunity** Agoda is rapidly accelerating its AI transformation. Our ambition is to make ML and LLM application development fast, scalable, reliable, and increasingly autonomous. We are looking for a Technical Product Manager to own and evolve Agoda’s ML & LLM Ops platforms. This role will shape how teams across Agoda build, iterate, deploy, monitor, and scale machine learning and large language model applications. You will operate at the intersection of platform engineering, applied AI teams, and emerging AI coding agents — ensuring our internal platforms are production-grade, optimized for experimentation, and increasingly native to AI-assisted development. This is a high-impact role in a fast-moving space, where the goal is not just to support ML/LLM applications — but to enable them to be created and iterated on with increasing automation and minimal human friction. **In This Role, You’ll Get to** * Define and evolve the product vision and roadmap for Agoda’s ML & LLM Ops platforms * Shape how teams productionize ML models and LLM-powered applications * Identify platform gaps, scalability constraints, and optimization opportunities * Drive the evolution of our platform to support AI-native development workflows and coding agents **Requirements & Opportunity Discovery** * Gather requirements from ML engineers, data scientists, backend engineers, and AI application teams * Translate complex technical needs into clear product requirements and prioritization frameworks * Proactively identify opportunities to reduce friction, improve reliability, and increase deployment velocity * Balance experimentation flexibility with governance, safety, and cost efficiency **Execution & Delivery** * Own features end-to-end: concept, specification, prioritization, implementation, and post-launch analysis * Partner closely with engineering to balance platform scalability, performance, and technical debt * Ensure platform capabilities support monitoring, evaluation, retraining, versioning, and observability of ML/LLM systems * Drive adoption through documentation, training, and internal evangelism **AI-Native Platform Evolution** * Collaborate with engineering to level up Agoda’s platforms to be more compatible with AI coding assistants and autonomous agents * Ensure platform APIs, tooling, and abstractions enable meaningful AI-generated code contributions * Help define guardrails and workflows that allow safe, reliable AI-assisted development **What You’ll Need to Succeed** * 5+ years of experience in ML engineering, data science, platform engineering, or a related technical domain * 2+ years of technical product or program management experience in fast-paced, high-scale environments * Experience working with ML Ops and/or LLM Ops concepts (model lifecycle, evaluation, monitoring, versioning, deployment pipelines) **Technical Depth** * Strong understanding of ML systems and model lifecycle management * Familiarity with LLM application patterns (RAG, fine-tuning, prompt management, evaluation frameworks, etc.) * Comfortable discussing architecture, APIs, infrastructure trade-offs, and scalability concerns with senior engineers * Strong analytical mindset with the ability to reason about system design, performance, and cost trade-offs **Leadership & Mindset** * Strong cross-functional leadership skills and ability to influence without authority * Comfortable operating in ambiguity and rapidly evolving technological landscapes * Excellent communication skills — able to translate between business, platform engineering, and AI application teams * Proactive, structured thinker with a strong problem-solving mindset * High ownership and bias for impact **Why This Role Is Unique** * You will shape how AI is built at scale inside Agoda. * You will influence the evolution of our internal platforms toward AI-native and agent-compatible development. * You will work at the forefront of ML and LLM production systems in a rapidly changing ecosystem. * Your work will directly accelerate Agoda’s ability to deliver AI-powered experiences to millions of customers worldwide. ***This position requires a successful candidate to relocate fully to Bangkok, Thailand, where relocation support is provided.***

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.

LINE MAN Wongnai is Thailand's leading provider of On-Demand Services, Merchant Digital Solutions, and Payment and Financial Services. We are seeking a Machine Learning Engineer for a 12-month contract to lead the migration of our machine learning and production model infrastructure to a modernized cloud environment. You will work directly with the Machine Learning Engineering and Data Science teams to re-platform existing training, serving, and feature data pipelines onto new cloud-native infrastructure. This is a hands-on execution role focused on the migration project, requiring the ability to ramp up quickly and contribute within the first few weeks. The role involves re-platforming the ML lifecycle, driving application integration, and ensuring production health during the transition. The successful candidate will be responsible for migrating MLOps infrastructure, training pipelines, and CI/CD workflows, as well as migrating data and feature pipelines to ensure uninterrupted data flow. You will establish monitoring and incident response for data quality and model drift during the cutover. Post-migration, you will optimize system performance by troubleshooting bottlenecks and tuning models for latency and cost efficiency. The role requires a pragmatic engineering approach to deliver against a fixed scope and timeline while ensuring a clean handover of documentation and ownership to the full-time team.

Lead the enterprise AI architecture strategy to enable scalable and secure AI adoption across business units. Own the end-to-end architecture governance and technical direction for AI and GenAI solutions. Drive the design and roadmap of enterprise-level AI platforms and shared services to ensure scalability and cross-business adoption. Define and enforce Responsible AI, security, and compliance frameworks while resolving complex architectural challenges. Lead technology evaluation and selection, establishing enterprise-wide architecture patterns and engineering best practices to drive consistency and efficiency.

The AI Engineer plays a critical role in designing, building, and deploying AI and Generative AI solutions to drive business value. This position focuses on enhancing customer experience and operational efficiency by developing enterprise-grade AI applications, agents, and automation workflows. The role requires close collaboration with cross-functional teams to gather requirements and implement solutions across various business domains, including customer care and network operations. Additionally, the engineer will contribute to the development of foundational AI platforms and services, ensuring robust MLOps and LLMOps practices are in place for scalable production environments. Key responsibilities include supporting the full lifecycle of AI/ML and GenAI solutions, from initial design and development to deployment and monitoring. The engineer will work on building and enhancing AI platforms, including APIs, orchestration components, and foundational capabilities such as RAG and vector databases. They will also participate in data pipeline development, model deployment, and governance activities to ensure security and compliance. The role offers the opportunity to work on cutting-edge AI initiatives, including proof-of-concepts and experimentation with internal teams and technology partners.