Senior AI Engineer: Production ML, MLOps & Governance

Randstad Digital Belgium; Antwerpen; Hybrid; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Entrepreneurial culture

Dedicated talent manager

Career development

Learning from peers

Job summary

Randstad Digital Belgium seeks an experienced AI/ML Engineer to lead productionization of AI solutions, guide data scientists, and influence architecture decisions. You will design CI/CD pipelines, inference workflows, and observability while coordinating with compliance and IT to ensure compliant-by-design systems.

You will work across tool ecosystems (RAG, APIs, orchestration patterns) and mentor colleagues, contributing to a culture of high-quality, reusable code.

Qualifications

• Experience bringing AI solutions into production.
• Experience contributing to architecture choices and coaching colleagues.
• Strong knowledge of MLOps, CI/CD, AzureDevOps, Git, Docker, Kubernetes and IaC.
• Fluent in Dutch and English.

Responsibilities

• Act as the independent lead and go-to expert bridging business problems to production-ready AI, guiding data scientists, and advising product owners on architecture and feasibility.
• Design and maintain reliable CI/CD pipelines, inference workflows, and end-to-end observability (monitoring, alerts, drift detection).
• Build and scale enterprise agentic solutions from proof of value to production using RAG, tool calling, APIs, and robust orchestration patterns.
• Establish evaluation frameworks, code review standards, guardrails, and red-teaming practices to ensure high-performing, reusable code.
• Collaborate with compliance, IT, and external partners to deliver compliant-by-design systems while preventing shadow AI and boosting company-wide AI literacy.

Skills

MLOps

CI/CD

AzureDevOps

Git

Docker

Kubernetes

IaC

Code reviews

Coaching

Tools

AzureDevOps

Git

Docker

Kubernetes

Job description

Randstad Digital Belgium seeks an experienced AI/ML Engineer to lead productionization of AI solutions, guide data scientists, and influence architecture decisions. You will design CI/CD pipelines, inference workflows, and observability while coordinating with compliance and IT to ensure compliant-by-design systems.

You will work across tool ecosystems (RAG, APIs, orchestration patterns) and mentor colleagues, contributing to a culture of high-quality, reusable code.