Staff MLOps Engineer (Bangkok-based, relocation provided)

About Agoda

Agoda is an online travel booking platform for accommodations, flights, and more. We build and deploy cutting-edge technology that connects travelers with more than 3.6 million accommodations globally. Based in Asia and part of Booking Holdings, our 6,000+ employees representing 90+ nationalities foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enhancing the ability for our customers to experience the world.

Agoda is an online travel booking platform for accommodation, flights, and more. We build and deploy cutting edge technology that connects travelers with more than 2.5 million accommodations globally. Based in Asia and part of Booking Holdings, our 4,000+ talents coming from 90+ different nationalities foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enabling our customers to experience the world.

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.

ML Platform in Agoda

Agoda ML Platform is built on self-managed Kubernetes and powered by Kubeflow, an open-source solution that enables efficient machine learning workflows.

Our MLOps 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, LLMOps, 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)
• 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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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 .

To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.