MLOps Engineer – GCP, Vertex AI & CI/CD

GeekSoft Consulting; Amsterdam; On-site; EUR 70,000 - 110,000; Full time

Benefits offered by this job

Career development

Well-being benefits

Mobility support

Job summary

GeekSoft Consulting in Amsterdam, Netherlands, is seeking a Machine Learning (MLOps) Engineer for a fixed-term engagement. You will design, build and continuously improve the clients online platform, focusing on scalable ML production systems.

Responsibilities include end-to-end ML lifecycle, deployment on GCP with Vertex AI and BigQuery, IaC with Terraform, containerization with Docker, and CI/CD pipelines with GitHub Actions; lead MLOps activities within the team.

Qualifications

• Develop, implement, and maintain ML models for pricing ancillary products.
• Design end-to-end ML lifecycle including development, retraining, deployment and monitoring.
• Ensure low-latency, scalable, reliable production ML systems.
• Build ML solutions in Google Cloud Platform using BigQuery and Vertex AI.
• Implement IaC with Terraform and containerize ML applications with Docker.
• Develop and maintain CI/CD pipelines with GitHub Actions.
• Lead MLOps activities within an ML engineering team.
• Experience with Terraform, CI/CD, automated testing, ML architecture.
• Hands-on experience with GCP, BigQuery, Vertex AI.
• Strong deployment, monitoring, retraining, and production optimization knowledge.
• Experience with Docker and GitHub Actions.

Responsibilities

• 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.

Skills

MLOps

CI/CD

Terraform

Docker

BigQuery

Vertex AI

GCP

GitHub Actions

ML deployment

Monitoring

Retraining

Tools

Terraform

Docker

GitHub Actions

BigQuery

Vertex AI

GCP

Job description

GeekSoft Consulting in Amsterdam, Netherlands, is seeking a Machine Learning (MLOps) Engineer for a fixed-term engagement. You will design, build and continuously improve the clients online platform, focusing on scalable ML production systems.

Responsibilities include end-to-end ML lifecycle, deployment on GCP with Vertex AI and BigQuery, IaC with Terraform, containerization with Docker, and CI/CD pipelines with GitHub Actions; lead MLOps activities within the team.