Senior Machine Learning Engineer/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 2.5 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.

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 2.5 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.

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:

• Mentor junior members of the team and help them grow their skills and expertise in MLOps
• Collaborate with data scientists and software engineers to build scalable and efficient data pipelines and model training and deployment systems
• Troubleshooting and debugging user issues
• 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
• Develop and maintain monitoring and management tools to ensure the reliability and performance of our on-premises MLOps infrastructure
• Lead the design, development, and implementation of on-premises MLOps solutions that support the delivery of machine learning models

What You’ll Need To Succeed

• Strong programming skills in a modern programming language (Java, Scala, Python, Kotlin)
• 5+ years of experience in MLOps, Software engineering, Data engineering, or a related field
• Value code simplicity and performance
• Excellent communication and collaboration skills, and the ability to work effectively in a team environment

It’s Great if you have:

• Experience with Big Data tools – Spark, S3, Hadoop
• Experience with ML frameworks – like scikit-learn, LGBM, Tensorflow, PyTorch etc.
• Experience with DevOps and CI/CD practices
• Experience designing and building MLOps infrastructure, including data pipelines, model training and deployment systems, and monitoring and management tools.
• Passion for the engineering behind machine learning, and scaling it
• Has experience building and scaling model serving tools, i.e building APIs with tight SLAs
• Strong knowledge of containerization and container orchestration technologies, such as Docker and Kubernetes
• Understanding of ML Projects lifecycle
• Experience with MLOps platforms, such as Kubeflow or MLFlow

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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.