# [Data Engineer] Senior / Staff MLOps Engineer (Bangkok Based ... [Agoda](https://gurify.com/jobs?q=Agoda) · Bangkok, Thailand · Posted today Principal [Data](https://gurify.com/jobs/data) [Apply on the original posting → (opens in a new tab)](https://job-boards.greenhouse.io/agoda/jobs/8284004) ## Job description ### 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. ### ML Platform in Agoda Agoda ML and AI Platform is built on self-managed Kubernetes and powered by Kubeflow, an open-source solution that enables efficient machine learning workflows. Our AI Ops team combines the best practices of software engineering with data science to help Machine Learning Engineers and Data Scientists work more effectively, meaning we aim to incorporate data/model versioning, collaboration, monitoring etc. in an intuitive way that allows our users to prosper within the field. ### In This Role, You’ll Get to: • Lead the design, development, and implementation of on-premises MLOps solutions that support the delivery of machine learning models • Collaborate with data scientists and software engineers to build scalable and efficient data pipelines and model training and deployment systems • Develop and maintain monitoring and management tools to ensure the reliability and performance of our on-premises MLOps infrastructure • Work with stakeholders across the organization to understand their machine learning needs and requirements, and to develop MLOps solutions that meet those needs • Stay up-to-date with the latest trends and technologies in MLOps, machine learning, and artificial intelligence, and share your knowledge with the team to help us stay at the forefront of the field • Mentor junior members of the team and help them grow their skills and expertise in MLOps • Troubleshooting and debugging user issues ### What You’ll Need to Succeed • 5+ years of experience in MLOps, Software engineering, Data engineering, or a related field • Strong programming skills in a modern programming language (Java, Scala, Python, Kotlin) • Hands-on experience with Kubernetes—deploying and operating workloads (jobs, services, or ML/training pipelines), debugging pod failures, and working with core concepts (Deployments, ConfigMaps/Secrets, Services, resource limits) • Excellent communication and collaboration skills, and the ability to work effectively in a team environment • Value code simplicity and performance ### It’s Great if you have: • Understanding of ML Projects lifecycle • Experience with MLOps platforms, such as Kubeflow or MLFlow • Experience with ML frameworks – like scikit-learn, LGBM, Tensorflow, PyTorch etc. • Experience with Big Data tools – Spark, S3, Hadoop • Strong knowledge of containerization and container orchestration technologies, such as Docker and Kubernetes • Experience with DevOps and CI/CD practices • Has experience building and scaling model serving tools, i.e building APIs with tight SLAs • Passion for the engineering behind machine learning, and scaling it • Experience designing and building MLOps infrastructure, including data pipelines, model training and deployment systems, and monitoring and management tools. #telaviv #jerusalem #LI-SK1 #IT #ENG #4 #LI-PS4 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #sydney #melbourne #perth #toronto #vancouver #montreal #shanghai #beijing #shenzhen #prague #Brno #Ostrava #cairo #alexandria #giza #estonia #paris #berlin #munich #hamburg #stuttgart #cologne #frankfurt #hongkong #budapest #jakarta #bali #dublin #telaviv #milan #rome #venice #florence #naples #turin #palermo #bologna #tokyo #osaka #kualalumpur #malta #amsterdam #oslo #manila #warsaw #krakow #doha #alrayyan #riyadh #jeddah #mecca #medina #singapore #seoul #barcelona #madrid #stockholm #zurich #taipei #tainan #taichung #kaohsiung #bangkok #Phuket #istanbul #london #manchester #liverpool #edinburgh #hcmc #hanoi #lodz #wroclaw #poznan #katowice #rio #salvador #newdelhi #bangalore #bandung #yokohama #nagoya #okinawa #fukuoka #jerusalem #IT #4 #LI-RS1 #newdelhi #Pune #Hyderabad #Bangalore #Mumbai #Bengaluru #Chennai #Kolkata #Lucknow #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #sydney #melbourne #perth #toronto #vancouver #montreal #shanghai #beijing #shenzhen #prague #Brno #Ostrava #cairo #alexandria #giza #estonia #paris #berlin #munich #hamburg #stuttgart #cologne #frankfurt #hongkong #budapest #jakarta #bali #dublin #telaviv #milan #rome #tokyo #osaka #kualalumpur #amsterdam #oslo #manila #warsaw #krakow #bucharest #moscow #saintpetersburg #capetown #johannesburg #seoul #barcelona #madrid #stockholm #zurich #taipei #bangkok #Phuket #istanbul #london #manchester #liverpool #edinburgh #kiev #hcmc #hanoi #wroclaw #poznan #katowice #rio #salvador #IT #4 #5 #LI-Hybrid ## ### Please review our Hiring Process Guidelines before your interview — click here to learn how interviewing at Agoda works. ### Discover more about working at Agoda - Agoda Careers https://careersatagoda.com - Facebook https://www.facebook.com/agodacareers/ - LinkedIn https://www.linkedin.com/company/agoda - YouTube https://www.youtube.com/agodalife ### 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. ### 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. **Live in Agoda’s hiring system.** Read from the company's own applicant tracking system, not reposted from a job board — so it's a real, open requisition rather than an ad that outlived the role. 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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.\u003C/p\u003E\u003Cp\u003EToday, 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.\u003C/p\u003E\u003Cp\u003ENo two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you\u2019re ready to begin your best journey and help build travel for the world, join us.\u003C/p\u003E\u003Ch3\u003EML Platform in Agoda\u003C/h3\u003E\u003Cp\u003EAgoda ML and AI Platform is built on self-managed Kubernetes and powered by Kubeflow, an open-source solution that enables efficient machine learning workflows.\u003C/p\u003E\u003Cp\u003EOur AI Ops team combines the best practices of software engineering with data science to help Machine Learning Engineers and Data Scientists work more effectively, meaning we aim to incorporate data/model versioning, collaboration, monitoring etc. in an intuitive way that allows our users to prosper within the field.\u003C/p\u003E\u003Ch3\u003EIn This Role, You\u2019ll Get to:\u003C/h3\u003E\u003Cp\u003E\u2022\u003Cbr /\u003ELead the design, development, and implementation of on-premises MLOps solutions that support the delivery of machine learning models\u003C/p\u003E\u003Cp\u003E\u2022\u003Cbr /\u003ECollaborate with data scientists and software engineers to build scalable and efficient data pipelines and model training and deployment systems\u003C/p\u003E\u003Cp\u003E\u2022\u003Cbr /\u003EDevelop and maintain monitoring and management tools to ensure the reliability and performance of our on-premises MLOps infrastructure\u003C/p\u003E\u003Cp\u003E\u2022\u003Cbr /\u003EWork with stakeholders across the organization to understand their machine learning needs and requirements, and to develop MLOps solutions that meet those needs\u003C/p\u003E\u003Cp\u003E\u2022\u003Cbr /\u003EStay up-to-date with the latest trends and technologies in MLOps, machine learning, and artificial intelligence, and share your knowledge with the team to help us stay at the forefront of the field\u003C/p\u003E\u003Cp\u003E\u2022\u003Cbr /\u003EMentor junior members of the team and help them grow their skills and expertise in MLOps\u003C/p\u003E\u003Cp\u003E\u2022\u003Cbr /\u003ETroubleshooting and debugging user issues\u003C/p\u003E\u003Ch3\u003EWhat You\u2019ll Need to Succeed\u003C/h3\u003E\u003Cp\u003E\u2022\u003Cbr /\u003E5\u002B years of experience in MLOps, Software engineering, Data engineering, or a related field\u003C/p\u003E\u003Cp\u003E\u2022\u003Cbr /\u003EStrong programming skills in a modern programming language (Java, Scala, Python, Kotlin)\u003C/p\u003E\u003Cp\u003E\u2022\u003Cbr /\u003EHands-on experience with Kubernetes\u2014deploying and operating workloads (jobs, services, or ML/training pipelines), debugging pod failures, and working with core concepts (Deployments, ConfigMaps/Secrets, Services, resource limits)\u003C/p\u003E\u003Cp\u003E\u2022\u003Cbr /\u003EExcellent communication and collaboration skills, and the ability to work effectively in a team environment\u003C/p\u003E\u003Cp\u003E\u2022\u003Cbr /\u003EValue code simplicity and performance\u003C/p\u003E\u003Ch3\u003EIt\u2019s Great if you have:\u003C/h3\u003E\u003Cp\u003E\u2022\u003Cbr /\u003EUnderstanding of ML Projects lifecycle\u003C/p\u003E\u003Cp\u003E\u2022\u003Cbr /\u003EExperience with MLOps platforms, such as Kubeflow or MLFlow\u003C/p\u003E\u003Cp\u003E\u2022\u003Cbr /\u003EExperience with ML frameworks \u2013 like scikit-learn, LGBM, Tensorflow, PyTorch etc.\u003C/p\u003E\u003Cp\u003E\u2022\u003Cbr /\u003EExperience with Big Data tools \u2013 Spark, S3, Hadoop\u003C/p\u003E\u003Cp\u003E\u2022\u003Cbr /\u003EStrong knowledge of containerization and container orchestration technologies, such as Docker and Kubernetes\u003C/p\u003E\u003Cp\u003E\u2022\u003Cbr /\u003EExperience with DevOps and CI/CD practices\u003C/p\u003E\u003Cp\u003E\u2022\u003Cbr /\u003EHas experience building and scaling model serving tools, i.e building APIs with tight SLAs\u003C/p\u003E\u003Cp\u003E\u2022\u003Cbr /\u003EPassion for the engineering behind machine learning, and scaling it\u003C/p\u003E\u003Cp\u003E\u2022\u003Cbr /\u003EExperience designing and building MLOps infrastructure, including data pipelines, model training and deployment systems, and monitoring and management tools.\u003C/p\u003E\u003Cp\u003E#telaviv #jerusalem #LI-SK1 #IT #ENG #4 #LI-PS4 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #sydney #melbourne #perth #toronto #vancouver #montreal #shanghai #beijing #shenzhen #prague #Brno #Ostrava #cairo #alexandria #giza #estonia #paris #berlin #munich #hamburg #stuttgart #cologne #frankfurt #hongkong #budapest #jakarta #bali #dublin #telaviv #milan #rome #venice #florence #naples #turin #palermo #bologna #tokyo #osaka #kualalumpur #malta #amsterdam #oslo #manila #warsaw #krakow #doha #alrayyan #riyadh #jeddah #mecca #medina #singapore #seoul #barcelona #madrid #stockholm #zurich #taipei #tainan #taichung #kaohsiung #bangkok #Phuket #istanbul #london #manchester #liverpool #edinburgh #hcmc #hanoi #lodz #wroclaw #poznan #katowice #rio #salvador #newdelhi #bangalore #bandung #yokohama #nagoya #okinawa #fukuoka #jerusalem #IT #4 #LI-RS1 #newdelhi #Pune #Hyderabad #Bangalore #Mumbai #Bengaluru #Chennai #Kolkata #Lucknow #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #sydney #melbourne #perth #toronto #vancouver #montreal #shanghai #beijing #shenzhen #prague #Brno #Ostrava #cairo #alexandria #giza #estonia #paris #berlin #munich #hamburg #stuttgart #cologne #frankfurt #hongkong #budapest #jakarta #bali #dublin #telaviv #milan #rome #tokyo #osaka #kualalumpur #amsterdam #oslo #manila #warsaw #krakow #bucharest #moscow #saintpetersburg #capetown #johannesburg #seoul #barcelona #madrid #stockholm #zurich #taipei #bangkok #Phuket #istanbul #london #manchester #liverpool #edinburgh #kiev #hcmc #hanoi #wroclaw #poznan #katowice #rio #salvador #IT #4 #5 #LI-Hybrid\u003C/p\u003E\u003Cp\u003E##\u003C/p\u003E\u003Ch3\u003EPlease review our Hiring Process Guidelines before your interview \u2014 click here to learn how interviewing at Agoda works.\u003C/h3\u003E\u003Ch3\u003EDiscover more about working at Agoda\u003C/h3\u003E\u003Cul\u003E\u003Cli\u003EAgoda Careers https://careersatagoda.com\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EFacebook https://www.facebook.com/agodacareers/\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003ELinkedIn https://www.linkedin.com/company/agoda\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EYouTube https://www.youtube.com/agodalife\u003C/li\u003E\u003C/ul\u003E\u003Ch3\u003EEqual Opportunity Employer\u003C/h3\u003E\u003Cp\u003EAt Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. 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