machine learning engineer

Agoda operates an online travel and accommodation booking platform that connects travelers with hotels, holiday properties, flights, and travel experiences worldwide.

• Lead the team technically in improving scalability, stability, accuracy, speed and efficiency of existing ML systems and processes;
• Build, administer and scale ML processing pipelines;
• Navigate the technology stack including Python3, Scala Spark, scripting, Hadoop, SQL, and S3;
• Understand internals of ML models such as LightGBM, Random Forest, CNN, and Regression models;
• Design, build, test and deploy new libraries, frameworks or full systems for core systems while keeping to the highest standards of testing and code quality;
• Work with experienced engineers and product owners to identify and build tools to automate large-scale data management and analysis tasks;
• Take and build systems that enable the delivery of ML models to production at a scale.

• Bachelor’s degree in computer science, information systems, engineering, or a related field;
• 6+ Years of experience in software engineering with a minimum of 4+ years in ML;
• Expert in SQL, Python3, and a JVM based programming language such as Java or Scala;
• Expert in software design and design patterns, functional programming, and object-oriented programming;
• Possess analytical problem-solving capabilities and experience, alongside a strong engineering driven mindset;
• Nice to have: Good understanding of Hadoop ecosystems and Big Data architecture and technologies, experience working with Open-source products, experience with Scala development, working in an agile environment using test driven methodologies, systems administration skills in Linux.

• Hybrid Working Model;
• WFH Set Up Allowance;
• 30 Days of Remote Working from anywhere globally every year;
• Employee discount for accommodation globally;
• Global team of 90+ nationalities and 40+ offices across 25+ countries;
• Annual CSR and Volunteer Time off;
• Benevity Subscription for employee donations;
• Volunteering opportunities globally;
• Free Headspace subscription;
• Free Odilo and Udemy subscriptions;
• Access to Employee Assistance Program for personal and workplace support;
• Enhanced Parental Leave;
• Life, TPD and Accident Insurance;
• Office role with relocation support.