Machine Learning / AI Engineer (AI)

TL;DR

Machine Learning / AI Engineer (AI): Designing, building, and operationalizing a central AI platform layer with an accent on serverless compute architectures and MLOps. Focus on enabling reusable AI services, such as AI SDKs and PII detection, while ensuring secure and scalable deployment across the engineering landscape.

Location: Amsterdam, North Holland

Company

Professional solutions provider connecting skilled international professionals with projects ranging from tech startups to global players.

What you will do

• Design and assess serverless compute architectures for AI and data workloads.
• Build and optimize scalable serverless data and machine learning environments.
• Develop and maintain CI/CD pipelines for AI and data platform components.
• Ensure reliability, performance, monitoring, and cost optimization of platform services.
• Collaborate with data scientists, cloud engineers, and DevOps teams as a technical subject matter expert.
• Operationalize machine learning models in accordance with enterprise security, governance, and compliance standards.

Requirements

• Proven experience designing and implementing machine learning and AI solutions in a cloud environment.
• Strong understanding of modern data and ML platform architectures, including serverless compute.
• Hands-on experience with serverless, integration, and event-driven architectures.
• Strong programming skills in Python, SQL, and distributed data processing frameworks.
• Experience with CI/CD, MLOps, and Infrastructure as Code practices.
• Knowledge of security, privacy, and compliance considerations for AI and data solutions.

Culture & Benefits

• Opportunity to work on large-scale platform modernization initiatives.
• Access to an international network of skilled professionals.
• Focus on connecting high-level skills with impactful enterprise projects.