Machine Learning (MLOps) Engineer

• Help design, build and continuously improve the clients online platform.
• Research, suggest and implement new technology solutions following best practices/standards.
• Take responsibility for the resiliency and availability of different products.
• Be a productive member of the team.

Requirements

• Develop, implement, and maintain machine learning models for pricing ancillary products such as seats, baggage, extra legroom, and paid fare upgrades.
• Design and manage the end-to-end ML lifecycle, including model development, retraining, deployment, monitoring, and optimization.
• Continuously monitor and improve production ML models, ensuring low-latency performance, reliability, scalability, and compliance with engineering standards.
• Build and deploy ML solutions within the Google Cloud Platform (GCP) ecosystem, leveraging BigQuery and Vertex AI.
• Implement Infrastructure as Code (IaC) using Terraform and containerize ML applications with Docker.
• Develop and maintain CI/CD pipelines using GitHub Actions to enable reliable and automated ML deployments.
• Strong experience leading MLOps activities within an ML engineering team.
• Expertise in Terraform, CI/CD, automated testing, and ML architecture design and optimization.
• Hands-on experience with GCP, BigQuery, and Vertex AI.
• Strong understanding of ML model deployment, monitoring, retraining, and production optimization.
• Experience with Docker and GitHub Actions.

Benefits

Fixed Term Employment Contract

Work-Life Balance

Flexible Work Mode

What GeekSoft Consulting Offers

• International, collaborative consulting culture with clear career development paths.
• Comprehensive Dutch benefits package emphasizing well-being, mobility, and career growth.