MLOps Engineer
Posted 16 Oct 2026
Advertised as “[Data Engineer] Senior / Staff MLOps Engineer (Bangkok Based, relocation provided)”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 5+ yrs
- Management level
- People management
- Employment
- Hybrid
No salary listed for this role.
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