MLOps Engineer: GCP, Terraform & CI/CD Specialist

GeekSoft Consulting

Amsterdam

Hybrid

EUR 85,000 - 110,000

Full time

2 days ago
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Benefits offered by this job

Fixed term contract
Flexible work mode
Work-life balance
Career development paths

Job summary

GeekSoft Consulting in the Netherlands is seeking an experienced ML Engineer for a fixed-term contract to design, build and continuously improve the client's online platform. You will lead the ML lifecycle, ensuring low latency, reliability and production readiness while aligning with engineering standards.

You will deploy on Google Cloud Platform with BigQuery and Vertex AI, implement IaC with Terraform, containerize with Docker, and run CI/CD pipelines via GitHub Actions as part of an

Qualifications

  • Develop, maintain and optimize ML models for pricing ancillary products such as seats, baggage, upgrades.
  • Design end-to-end ML lifecycle: model development, retraining, deployment, monitoring and optimization.
  • Deploy ML solutions on GCP using BigQuery and Vertex AI with IaC via Terraform.
  • Build CI/CD pipelines using GitHub Actions for reliable ML deployments.
  • Lead MLOps activities within an ML engineering team.
  • Hands-on experience with Terraform, CI/CD, automated testing and ML architecture.

Responsibilities

  • Help design and improve the client's online platform.
  • Research and apply new technology solutions following best practices.
  • Ensure resiliency and availability of products.
  • Be an active, productive team member.

Skills

MLOps leadership
ML engineering
CI/CD automation
Terraform
GCP
Docker
GitHub Actions
BigQuery
Vertex AI
CI/CD pipelines

Tools

Terraform
Docker
GitHub Actions
GCP
BigQuery
Vertex AI

Job description

GeekSoft Consulting in the Netherlands is seeking an experienced ML Engineer for a fixed-term contract to design, build and continuously improve the client's online platform. You will lead the ML lifecycle, ensuring low latency, reliability and production readiness while aligning with engineering standards.

You will deploy on Google Cloud Platform with BigQuery and Vertex AI, implement IaC with Terraform, containerize with Docker, and run CI/CD pipelines via GitHub Actions as part of an

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