The Senior MLOps Engineer at KAYAK will play a crucial role in designing and implementing the machine learning infrastructure and production lifecycle, ensuring the reliability and performance of ML models. Responsibilities include building and maintaining end-to-end ML infrastructure, owning model deployment, developing core MLOps capabilities, operationalizing infrastructure, and improving platform reliability. The ideal candidate should have experience in production environments, proficiency