Senior ML Ops Engineer

About the role

KAYAK is seeking a Senior MLOps Engineer to design and implement machine learning infrastructure and production lifecycles. This role bridges the gap between data science and production engineering by building scalable infrastructure and automated pipelines for model training, deployment, and monitoring. You will work within the Machine Learning Platform team to ensure ML models are reliable, reproducible, and performant.

Responsibilities

• Build and maintain ML infrastructure end-to-end including CI/CD pipelines and model orchestration.
• Own model deployment and serving to ensure low latency and high availability.
• Develop core MLOps capabilities such as feature stores, model registries, and automated monitoring.
• Operationalize infrastructure for the ML team by enabling Kubernetes autoscaling and GPU provisioning.
• Improve platform reliability and performance by designing resilient monitoring and defining service-level objectives.
• Empower Data Scientists by building standardized workflows to streamline the model development lifecycle.

Required skills

• MLOps
• Docker
• Kubernetes
• Linux
• Python
• CI/CD
• Model serving
• Observability
• Prometheus
• Grafana
• Datadog

Benefits

• Work from anywhere for up to 20 days per year
• Company-paid therapy sessions
• HeadSpace subscription
• Company-wide week off
• No meeting Fridays
• Paid parental leave
• Paid volunteer time
• Development Dollars
• Leadership development
• Travel Discounts

About the Company

KAYAK, part of Booking Holdings, is a leading travel search engine that helps people find flights, stays, rental cars, and vacation packages. The company operates a portfolio of global metasearch brands including momondo, Cheapflights, and HotelsCombined.