Senior ML Engineer - MLOps & Infrastructure

Expedia; España; On-site; EUR 56,000 - 89,000; Full time

Job summary

Expedia Group is seeking a Machine Learning Engineer III to join the Revenue Optimization ML team in Madrid. You will design, build, and maintain scalable ML infrastructure for ranking, recommendations, and pricing solutions, collaborating with data scientists to move models from development to production.

The role combines software engineering, distributed systems, and MLOps, with mentorship responsibilities and a focus on performance, reliability, and server-side scalability within a

Qualifications

• 3+ years in software, data, or ML engineering roles.
• Proficient in Python and ML frameworks (TensorFlow or PyTorch).
• Experience with cloud platforms (AWS, GCP) and containerization (Docker, Kubernetes).
• Familiar with CI/CD (GitHub Actions) and ML model serving (MLflow).

Responsibilities

• Design and implement scalable ML infrastructure for training and deployment.
• Build and maintain data pipelines for large-scale processing.
• Optimize compute resources and model serving performance.
• Implement monitoring, logging, and alerting; contribute to MLOps (CI/CD).
• Collaborate with ML scientists to streamline model development to production.
• Mentor junior engineers and communicate technical solutions.

Skills

Python

Problem solving

ML engineering

Education

Bachelor's or Master's in CS/SE

Tools

TensorFlow

PyTorch

AWS

GCP

Docker

Kubernetes

Spark

Kafka

MLflow

GitHub Actions

Job description

Expedia Group is seeking a Machine Learning Engineer III to join the Revenue Optimization ML team in Madrid. You will design, build, and maintain scalable ML infrastructure for ranking, recommendations, and pricing solutions, collaborating with data scientists to move models from development to production.

The role combines software engineering, distributed systems, and MLOps, with mentorship responsibilities and a focus on performance, reliability, and server-side scalability within a