Kayak
Senior ML Ops Engineer
Full-timeNot specifiedBerlin OfficeNot disclosedApply by 21 Oct 2026
Overview
KAYAK, part of Booking Holdings (NASDAQ: BKNG), is a leading travel search engine. With billions of queries across our platforms, we help people find their perfect flight, stay, rental car and vacation package. We're also transforming business travel with a new corporate travel solution, KAYAK for Business. As an employee of KAYAK, you will be part of a travel company that operates a portfolio of
What you'll do
- KAYAK, part of Booking Holdings (NASDAQ: BKNG), is a leading travel search engine.
- With billions of queries across our platforms, we help people find their perfect flight, stay, rental car and vacation package.
- We're also transforming business travel with a new corporate travel solution, KAYAK for Business.
- As an employee of KAYAK, you will be part of a travel company that operates a portfolio of global metasearch brands including momondo, Cheapflights and HotelsCombined, among others.
- From start-up to industry leader, innovation is in our DNA and every employee has an opportunity to make their mark.
- Our focus is on building the best travel search engine to make it easier for everyone to experience the world.
- Every machine learning model KAYAK ships depends on reliable, scalable infrastructure to move from experiment to production, and that's exactly what this role makes possible.
- KAYAK is seeking a Senior MLOps Engineer who will focus on the design and implementation of our machine learning infrastructure and production lifecycle.
- This is a senior, hands-on role where you will bridge the gap between data science and production engineering.
- You will join the Machine Learning Platform team and be responsible for building and maintaining scalable infrastructure & automated pipelines for model training, deployment, and monitoring, ensuring our ML models are reliable, reproducible, and performant.
Requirements
- Practical experience with Cost Centers.
- Relevant academic or project background for a Senior ML Ops Engineer role.
- Strong written and verbal communication in English.
- Comfortable working on-site in Berlin Office.
Skills
Cost Centers