Team Rockstars IT is an IT company specializing in data, AI, software, cloud, and security. We help organizations solve complex technological challenges. We believe in the power of our 'Rockstars': driven IT professionals who are always seeking new opportunities to improve themselves and our clients. We offer an environment where you can grow, learn, and make an impact.

About the Position

Introduction

Team Rockstars IT is looking for a driven AI Platform Engineer to work on impactful AI projects. You will be the bridge between Data Science and Production, designing, implementing, and maintaining robust and scalable MLOps platforms. This role offers the chance to grow continuously, work on innovative projects, and be part of a close-knit team.

Responsibilities

Set up CI/CD pipelines for machine learning models.
Manage data pipelines and storage for AI applications.
Optimize models for production and monitor their performance.
Collaborate with Data Scientists and Software Engineers to integrate AI solutions into existing systems.

Requirements

Minimum of 3 years of experience in a similar role, preferably in an MLOps environment.
In-depth knowledge of cloud platforms such as Azure, AWS, or GCP (experience with all three is a plus).
Experience with containerization (Docker, Kubernetes) and CI/CD tools (Git, Jenkins, Azure DevOps).
Familiarity with machine learning frameworks (TensorFlow, PyTorch) and data engineering tools (Spark, Kafka).
Proactive attitude and a strong focus on quality and scalability.
Strong communication skills and a team player mentality.
Dutch language skills preferred (working knowledge required for this role based in the Netherlands).

Benefits

Salary between €5,500 and €8,500 per month.
Lease car with fuel card, or a mobility budget.
Annual training budget of €5,000 for continuous growth and development.
Opportunity to work on challenging and innovative projects with leading clients.
A close-knit team of enthusiastic and talented professionals focused on knowledge sharing and collaboration.
Regular team activities, social gatherings, and knowledge sessions.
Flexible working hours and the possibility of remote work.