Machine Learning (MLOps) Engineer
Posted Updated
- 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.