Developer – Machine Learning MLOps

Sourced from drjobpro.com

We are seeking an experienced MLOps Engineer to join a team in Amsterdam, focusing on developing and operating machine learning solutions for airline ancillary product pricing. The role requires strong expertise in the end-to-end ML lifecycle, with a heavy emphasis on infrastructure automation, CI/CD pipelines, and production reliability using Google Cloud Platform (GCP). You will bridge the gap between data science and engineering, ensuring models are scalable, reliable, and performant in production.

• Develop and maintain machine learning models for dynamic pricing of airline products (seats, baggage, upgrades)
• Design and implement complete ML pipelines including development, retraining, deployment, and monitoring
• Build and manage CI/CD workflows using GitHub Actions and Infrastructure as Code with Terraform
• Containerize ML applications using Docker and optimize for low-latency production performance
• Lead MLOps activities, including automated testing, quality controls, and model monitoring

• 6-8 years of relevant experience in Machine Learning, Data Science, or ML Engineering
• Strong hands-on experience with MLOps practices and the complete ML lifecycle
• Expertise in Google Cloud Platform (GCP), specifically BigQuery and Vertex AI