Senior ML Engineer & MLOps Lead – Production Systems

Itproposal; Amsterdam; On-site; EUR 90,000 - 130,000; Full time

Job summary

Itproposal is seeking an experienced Machine Learning Engineer / MLOps expert in Amsterdam to design, deploy, and operate ML solutions for ancillary airline product pricing. You will own end-to-end ML lifecycles, from model research to production monitoring, emphasizing reliability and low latency.

The role focuses on MLOps, Terraform, CI/CD, and Cloud-native architectures using GCP, BigQuery, Vertex AI, Docker, and GitHub Actions. Collaboration with data scientists and engineers is essential.

Qualifications

• 6–8 years of experience in ML, Data Science, ML Engineering, or related field.
• Strong experience deploying ML models in production.
• Deep understanding of the ML lifecycle.
• Hands-on experience with MLOps.
• Expertise in Terraform and Infrastructure as Code.
• Proven ability to design and manage CI/CD pipelines.
• Experience with ML architecture design and optimization.
• Familiarity with GCP, BigQuery, Vertex AI, Docker, and GitHub Actions.
• Experience with monitoring production ML models and low-latency deployments.
• Ability to build scalable, reliable ML solutions.

Responsibilities

• Develop, implement, and maintain ML models for pricing ancillary airline products.
• Design and implement complete ML pipelines covering development, retraining, deployment, and monitoring.
• Research approaches to improve model performance and business outcomes.
• Productionize ML models and continuously monitor their performance.
• Optimize models and deployment processes for low-latency production performance.
• Ensure ML solutions comply with internal engineering standards and best practices.
• Take a leading role in the team's MLOps activities.
• Design and optimize ML architectures for scalable and reliable production environments.
• Build and maintain CI/CD pipelines for ML applications.
• Implement automated testing and quality controls for ML solutions.
• Work extensively with Google Cloud Platform (GCP).
• Use BigQuery for data processing and analytics related to ML solutions.
• Leverage the Vertex AI suite for ML development and deployment.
• Use Terraform to implement Infrastructure as Code.
• Containerize ML applications using Docker.
• Develop and maintain CI/CD workflows using GitHub Actions.
• Collaborate with data scientists, engineers, and stakeholders to deliver robust ML solutions.

Skills

ML lifecycle

MLOps

CI/CD pipelines

Terraform

GCP

BigQuery

Vertex AI

Docker

GitHub Actions

Low-latency deployments

Tools

Terraform

GitHub Actions

Docker

BigQuery

Vertex AI

GCP

Job description

Itproposal is seeking an experienced Machine Learning Engineer / MLOps expert in Amsterdam to design, deploy, and operate ML solutions for ancillary airline product pricing. You will own end-to-end ML lifecycles, from model research to production monitoring, emphasizing reliability and low latency.

The role focuses on MLOps, Terraform, CI/CD, and Cloud-native architectures using GCP, BigQuery, Vertex AI, Docker, and GitHub Actions. Collaboration with data scientists and engineers is essential.