Senior MLOps Engineer

As a member of the Agoda team, you will play a crucial role in leading the design, development, and implementation of on-premises MLOps solutions supporting the delivery of machine learning models. Your responsibilities will include collaborating with data scientists and software engineers to build scalable data pipelines and model training systems. You will also be involved in developing monitoring and management tools to ensure the reliability and performance of our MLOps infrastructure. Additionally, you will work with stakeholders across the organization to understand their machine learning needs and develop solutions to meet those requirements. As a valuable member of the team, you will stay up-to-date with the latest trends in MLOps, machine learning, and artificial intelligence, sharing your knowledge with the team to keep us at the forefront of the field. You will also mentor junior team members, aiding in their skills growth and expertise in MLOps. Troubleshooting and debugging user issues will also be a part of your responsibilities. **Key Responsibilities:** - Lead the design, development, and implementation of on-premises MLOps solutions - Collaborate with data scientists and software engineers to build scalable data pipelines and model training systems - Develop monitoring and management tools for on-premises MLOps infrastructure - Understand stakeholders" machine learning needs and develop solutions to meet those requirements - Stay updated with the latest trends in MLOps, machine learning, and artificial intelligence - Share knowledge with the team to stay at the forefront of the field - Mentor junior team members for skills growth and expertise in MLOps - Troubleshoot and debug user issues **Qualifications Required:** - 5+ years of experience in MLOps, Software engineering, Data engineering, or related field - Strong programming skills in a modern language (Java, Scala, Python, Kotlin) - Excellent communication and collaboration skills - Ability to work effectively in a team environment - Value code simplicity and performance Agoda ML and AI Platform is built on self-managed Kubernetes and powered by Kubeflow, enabling efficient machine learning workflows. The AI Ops team combines software engineering with data science best practices to enhance the effectiveness of Machine Learning Engineers and Data Scientists. The team aims to incorporate data/model versioning, collaboration, monitoring, etc., in an intuitive way to help users prosper in the field. (Above is the Job Description as per the provided details),