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Agoda · 17 hours ago

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

Miami, FL

Full-time

Onsite

Senior Level, Lead/Staff

5+ years exp

Agoda is a global travel company that connects people to destinations and experiences. The role involves leading the design and implementation of MLOps solutions, collaborating with data scientists and software engineers, and maintaining the reliability of the MLOps infrastructure.

Air TransportationE-CommerceHotelTourismTravelTravel Accommodations

Growth Opportunities

Responsibilities

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

Qualification

MLOpsKubernetesMachine LearningPythonMLFlowKubeflowBig Data toolsContainerizationDevOpsCommunication skillsCollaboration skillsMentoring

Required

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

Preferred

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

Company

Agoda

Glassdoor4.2

Agoda is a digital travel platform that provides access to hotels and holiday properties including flights. It is a sub-organization of Booking Holdings.

Founded in 2005

Singapore, Central Region, SGP

5001-10000 employees