What are the responsibilities and job description for the Senior / Staff MLOps Engineer (Bangkok based, relocation provided) position at Agoda?
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 a global network of 4.7M hotels and holiday properties worldwide, plus flights, activities, and more. Based in Asia and part of Booking Holdings, our 7,100 employees representing 95 nationalities in 27 markets 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.
Our Purpose - Bridging the World Through Travel
We believe travel allows people to enjoy, learn and experience more of the amazing world we live in. It brings individuals and cultures closer together, fostering empathy, understanding and happiness.
We are a skillful, driven and diverse team from across the globe, united by a passion to make an impact. Harnessing our innovative technologies and strong partnerships, we aim to make travel easy and rewarding for everyone.
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:
Discover More About Working At Agoda
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.
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.
Agoda is an online travel booking platform for accommodations, flights, and more. We build and deploy cutting-edge technology that connects travelers with a global network of 4.7M hotels and holiday properties worldwide, plus flights, activities, and more. Based in Asia and part of Booking Holdings, our 7,100 employees representing 95 nationalities in 27 markets 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.
Our Purpose - Bridging the World Through Travel
We believe travel allows people to enjoy, learn and experience more of the amazing world we live in. It brings individuals and cultures closer together, fostering empathy, understanding and happiness.
We are a skillful, driven and diverse team from across the globe, united by a passion to make an impact. Harnessing our innovative technologies and strong partnerships, we aim to make travel easy and rewarding for everyone.
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, 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
- 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
- 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.
Discover More About Working At Agoda
- Agoda Careers https://careersatagoda.com
- Facebook https://www.facebook.com/agodacareers/
- LinkedIn https://www.linkedin.com/company/agoda
- YouTube https://www.youtube.com/agodalife
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.
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.