---
title: '[Data Engineer] Senior / Staff MLOps Engineer (Bangkok Based, relocation provided) at Agoda'
canonical: 'https://feeny.ai/job/data-engineer-senior-staff-mlops-engineer-bangkok-based-relocation-provided-gagfg2btrnbp'
type: 'job'
last_seen: '2026-10-18'
---

# [Data Engineer] Senior / Staff MLOps Engineer (Bangkok Based, relocation provided) at Agoda

- **Company:** Agoda
- **Location:** Bangkok, Thailand
- **Posted:** 2026-10-16
- **Last confirmed live:** 2026-10-18
- **Apply:** 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.

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Please review our Hiring Process Guidelines before your interview — click [here](https://careersatagoda.com/interview/)to learn how interviewing at Agoda works.

Discover more about working at Agoda

- Agoda Careers [https://careersatagoda.com](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](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.

## About Agoda

## Company Overview
- **One-liner**: Agoda is a digital travel platform that helps travelers find great value deals on hotels, flights, and activities worldwide.
- **Entity Type**: Public (subsidiary of Booking Holdings Inc., NASDAQ: BKNG)
- **Headquarters**: Singapore
- **Founded**: 2005
- **Founders**: Robert Rosenstein and Michael Kenny

## Core Business
- Primary industry: Online travel and accommodation booking
- Target customers: B2C (leisure and business travelers globally)
- Mission/purpose: “Bridging the world through travel” – making travel easier, more affordable, and rewarding for everyone.

## Products & Services
- **[Agoda.com / Agoda mobile app]**: Online travel agency (OTA) offering booking for hotels, homes, villas, flights, and activities. Available in 39 languages with 24/7 customer support.
- **[Agoda Flights]**: Flight booking service launched in 2010.
- **[Agoda Easy Cancel / Hygiene Plus]**: Products introduced during the pandemic to offer flexible cancellation and enhanced cleanliness information.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed separately; parent company Booking Holdings has a market cap of approximately $140+ billion (as of mid-2025). Agoda is a key growth engine within the group.
- **Key Metric**: Over 7,000 employees; processes 1 trillion price checks daily; 2B+ user interactions captured daily; 12 PB of data processed monthly.
- **Notable Investors/Partners**: Wholly owned by Booking Holdings (NASDAQ: BKNG). Partnerships with over 6 million hotels and holiday properties globally.
- **Growth Signals**: Expanded to 27 markets; launched new products during COVID-19 (ASQ, Go Local, Easy Cancel); continues to hire aggressively across engineering, product, and analytics roles.

## Competitive Advantages
- **Scale & Data**: Access to Booking Holdings’ global network and massive data pipeline (12 PB/month, 1 trillion price checks/day) enables real-time pricing optimization and personalization.
- **Tech-First Culture**: Data-driven experimentation (1,000+ live experiments at any time), heavy use of GenAI, and a strong engineering focus.
- **Asia Home Base**: Deep roots in Asia-Pacific with a large office in Bangkok, giving local market insights and cost advantages.
- **Parent Support**: Backed by one of the world’s largest online travel companies, providing financial stability and cross-selling opportunities.

## Strategic Focus
- **Growth through technology**: Continued investment in AI, machine learning, and experimentation to improve search, pricing, and user experience.
- **Expanding product offerings**: Growing beyond accommodation into flights, activities, and domestic travel options.
- **Sustainability**: Integrating sustainability initiatives into operations and offerings.
- **Talent acquisition**: Actively hiring across multiple functions (engineering, product, data, marketing) to support global expansion.

## Why Work Here
- **Culture**: Described as “data-driven to the core” with a focus on experimentation, ownership, and direct respect. Inclusive environment with 90+ nationalities represented.
- **Flexibility**: Hybrid workplace balancing in-office and work-from-home days; employees can work from anywhere for up to 30 calendar days per year.
- **Benefits**: Competitive perks, flexible benefits, relocation support for key roles, and recognition as an award-winning workplace (Fortune World’s Most Admired Companies 2025, TIME/Statista World’s Best Companies 2023, Forbes World’s Top Companies for Women 2023).
- **Engineering & Analytics**: Strong emphasis on tech – 1,000+ live experiments, 12 PB data/month, and a “scientist” mindset across teams. Opportunities to work on massive-scale systems.
- **Community**: Employee Resource Groups (ERGs) for belonging and inclusion; lively social events like AgodaFest.

## Sources
1. [agoda.com](https://www.agoda.com/about-agoda/)
2. [careersatagoda.com](https://careersatagoda.com/our-culture/)
3. [careersatagoda.com](https://careersatagoda.com/)
4. [job-boards.greenhouse.io](http://job-boards.greenhouse.io/agoda)
5. [linkedin.com](https://au.linkedin.com/company/agoda)

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