Senior / Staff MLOps Engineer (Bangkok based, relocation provided)

Who you are

You have 5+ years of experience in MLOps or related fields, with a strong background in building and deploying machine learning models. Your expertise in Kubernetes and Kubeflow allows you to create efficient workflows that enhance collaboration between data scientists and engineers. You are proficient in Python and have a solid understanding of data engineering principles, enabling you to design scalable data pipelines. You thrive in a collaborative environment and enjoy working closely with cross-functional teams to drive innovation in machine learning applications. You are passionate about optimizing machine learning processes and have a keen interest in the latest technologies in the field. We encourage you to apply even if your experience doesn't match every requirement.

What you'll do

In this role, you will lead the design, development, and implementation of on-premises MLOps solutions that support the delivery of machine learning models. You will collaborate with data scientists and software engineers to build scalable and efficient data pipelines, ensuring that model training and deployment systems are robust and reliable. You will be responsible for integrating best practices in data/model versioning and monitoring, allowing users to effectively manage their machine learning workflows. Your role will involve mentoring junior team members and sharing your expertise to foster a culture of continuous improvement within the team. You will also engage in troubleshooting and optimizing existing systems to enhance performance and reliability. Your contributions will directly impact the efficiency of machine learning operations at Agoda, helping to bridge the world through travel.

What we offer

Agoda provides a dynamic work environment where innovation is at the forefront of our mission. We offer competitive compensation and benefits, along with opportunities for professional growth and development. You will be part of a diverse team that values collaboration and creativity, working together to create impactful solutions in the travel industry. Join us in shaping the future of travel through technology and data-driven insights.