ML Engineer - Amsterdam - 12 months contract

Global Enterprise Partners; Amsterdam; On-site; EUR 70,000 - 90,000; Full time

Job summary

A global consulting firm is seeking an ML Engineer for a 12-month contract in Amsterdam. The role involves guiding the migration to Google Cloud, engaging with stakeholders, and collaborating with data scientists to create scalable architectures. Strong experience in GCP, Terraform, and CI/CD workflows is required. This position emphasizes technical leadership and adaptability in a dynamic environment.

Qualifications

• Hands-on experience with GCP, Terraform, and CI/CD pipelines.
• Ability to bridge technical and strategic discussions across multiple disciplines.
• Deep understanding of ML engineering workflows, including training pipelines and their architectural impact.

Responsibilities

• Set up and guide migration to GCP, including pipelines and Terraform infrastructure.
• Engage with diverse stakeholders to align technical decisions with business needs.
• Collaborate closely with data scientists to translate processes into cloud-native architectures.

Skills

GCP

Terraform

CI/CD pipelines

ML engineering workflows

Agile Adaptability

Tools

Kubernetes

Docker

Apache Airflow

GitHub

Job description

Overview

ML Engineer - Amsterdam - 12 months contract role at Global Enterprise Partners. Global Enterprise Partners is currently looking for an ML Engineer to support our client in Amsterdam on a new project.

Key Responsibilities

• Cloud Development & Migration: Set up and guide the migration from on-premise infrastructure to GCP, including pipelines and Terraform-based infrastructure.
• Technical Leadership: Engage confidently with diverse stakeholders—data scientists, architects, and enterprise architects—to align technical decisions with business needs.
• ML Engineering Collaboration: Work closely with data scientists, understand their processes (e.g., reinforcement learning), and translate these into scalable, cloud-native architectures.
• Infrastructure Ownership: Although the current on-prem infrastructure is managed externally (e.g., Kubernetes platform), more responsibility is shifting to the team. The candidate will help define and manage this scope within GCP.
• Agile Adaptability: Operate effectively in the company's fast-changing environment. The ability to handle delays or shifting priorities with resilience and professionalism is essential.

Qualifications & Skills

• Hands-on experience with GCP, Terraform, and CI/CD pipelines.
• Ability to bridge technical and strategic discussions across multiple disciplines.
• Deep understanding of ML engineering workflows, including training pipelines and their architectural impact.
• Comfortable navigating dynamic environments and overlapping responsibilities.
• Capable of writing and reviewing basic Terraform code, and supporting data scientists in engineering tasks.

Team Dynamics

• The role emphasizes cross-functional collaboration, especially with data scientists who are expected to have foundational ML engineering skills.
• While roles differ in focus, the candidate must be able to communicate fluently across both engineering and data science domains.

Dual Stack Architecture & Transition to Google Cloud

• On-Premise Stack: Kubernetes and Docker for container orchestration and deployment; Apache Airflow for workflow orchestration; MLflow for ML lifecycle management; ZOE (a Docker-based tool with a wrapper layer); GitHub for version control; CI/CD pipelines using GitHub Actions.
• DCP Stack - Transitioning to Google Cloud: Serverless compute via Cloud Run; BigQuery; Google Cloud Storage (GCS); Cloud Scheduler; Terraform; APIM hosted in Azure.

Modeling & Machine Learning Landscape

• PyTorch-like frameworks for deep learning
• Generative AI (GenAI) applications
• Decision Trees and Gradient Boosted Trees
• Reinforcement Learning (RL) focus and expansion beyond the current model
• Development of Recommendation Systems based on RL principles

How to Apply

Are you interested in this opportunity and do you meet the criteria? Please get in touch with Marco Eindhoven of Global Enterprise Partners on telephone [phone] or mail to m.eindhoven(a)globalenterprisepartners.com

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