Machine Learning Engineer / MLOps Engineer (10969327)

We are looking for an experienced Machine Learning Engineer with strong MLOps expertise to develop, deploy, monitor, and optimize machine learning models for pricing ancillary airline products, including seats, bags, legroom, and paid fare upgrades. The role covers the end-to-end ML lifecycle, from model development and retraining through deployment, monitoring, and continuous optimization.

Must-Have Skills

Machine Learning / MLOps

Strong experience with GCP

BigQuery

Vertex AI

Terraform / Infrastructure as Code

Docker / Containerization

GitHub Actions / CI/CD

ML pipeline design, deployment & monitoring

ML architecture, testing & optimization

Production ML model monitoring

Experience with low-latency ML deployments

Develop, implement, and maintain production-grade ML models.

Design and manage the complete ML pipeline from retraining to deployment and monitoring.

Lead the MLOps aspects of the team.

Build scalable infrastructure using Terraform and Docker.

Implement CI/CD pipelines using GitHub Actions.

Deploy and manage ML models using GCP and Vertex AI.

Use BigQuery for data and ML-related workloads.

Monitor production models and continuously improve performance.

Ensure solutions meet internal engineering standards and best practices.