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.

Summer Internship Period: 

Our internship period for this role is from May 27 to August 2, 2024. During this time, interns will have the opportunity to immerse themselves in our dynamic engineering environment, contributing to various projects and gaining valuable hands-on experience. Additionally, outstanding interns may be considered for potential extensions or full-time positions. The expected application timeline is as below; 

• Application Period - December 2023 till February 2024
• Assessment Period - January 2024 till March 2024
• Interview Period - January 2024 till March 2024
• Offer Period - April 2024 till May 2024
• Start of Internship - May 2024 till August 2024

If the internship period is not suitable for you, please consider applying for the cooperative internship which offers more flexible timings.

The Opportunity 

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: 

• Assist in the design and development of on-premises MLOps solutions under the guidance of senior team members to support the delivery of machine learning models. 
• Collaborate with experienced data scientists and software engineers to gain insights into building scalable and efficient data pipelines, model training and deployment systems. 
• Contribute to the development and maintenance of monitoring and management tools for the on-premises MLOps infrastructure. 
• Engage with various stakeholders within the organization to gather insights into their machine learning needs and requirements and observe how MLOps solutions are developed to meet those needs. 
• Stay informed about the latest trends and technologies in MLOps, LLMOps, machine learning, and artificial intelligence, with opportunities to learn from experts within the field. 
• Receive mentoring from senior members of the team to grow your skills and expertise in MLOps and related areas. 

What you’ll Need to Succeed: 

• Currently enrolled in or a recent graduate of a degree program in Computer Science, Software Engineering, Data Science, or a related field. 
• Strong desire to learn and good communication skills, with an enthusiasm for collaborative problem-solving. 
• Basic programming skills in a modern programming language (Java, Scala, Python, Kotlin). 

It’s Great if you have: 

• Exposure to any MLOps platforms, such as Kubeflow or MLFlow, either through coursework, projects, or internships. 
• Familiarity with any Data Analytics or ML frameworks – like numpy, scipy, pandas, scikit-learn, Tensorflow, PyTorch – gained through academic projects or self-learning. 
• Some knowledge of Big Data tools – Spark, S3, Hadoop – from classes, projects, or internships. 
• Awareness of containerization and container orchestration technologies, such as Docker and Kubernetes, from coursework or hobby projects. 
• An understanding of DevOps and CI/CD practices through academic exposure or personal projects. 
• Any experience in creating APIs or working with web services is a plus. 
• A keen interest in machine learning engineering and a willingness to explore how it can be scaled effectively. 
• Curiosity about designing and building MLOps infrastructure components, such as data pipelines, model training systems, and monitoring tools. 

#students #1 #summerintern #Bangkok

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.