Artificial Intelligence isn't coming — it's already here, and it's changing everything.

What you’ll do

With your talent, passion, and expertise, you’ll become part of an amazing team that makes the impossible possible! Next to that, you have an impact from the start & we will invest in your development to further your technical and personal growth. In this role, you’ll have the opportunity to work and learn, on impactful & rewarding challenges, including:

• Designing and implementing Machine Learning Environments that make the life of ML engineers and data scientists at our clients, but also internally, better

• Continuously building and deploying reproducible and scalable solutions on cloud infrastructure

• Implement versioning of machine learning datasets, models and tracking of experiments

• Design and build continuous integration of AI applications

• Set up the monitoring and tracing tools in order to easily maintain our solutions

Which clients will you be working for?

All our clients are chosen with respect to our values and beliefs at Radix. Therefore, we offer you the opportunity to join one of the leading AI solution providers and work together with a breadth of industries and like-minded organizations, including GSK, Brussels Airport, Atlas Copco, Flanders Investment and Trade, VDAB, Belga, Macadam, House of HR and many more. Visit our website https://radix.ai/ for client testimonials and case studies.

Requirements

Who we look for
For this role, we are looking for a passionate engineer who is deeply interested in how to efficiently develop, deploy and maintain Artificial Intelligence applications. You’re driven to get things done and deliver real, impactful solutions in close collaboration with our customers. You’re motivated by working in a vibrant team on diverse projects.

• You have a master’s or Ph.D. in Computer Science, Mathematics or a similar field.

• You have excellent general Software Engineering skills, and a deep knowledge of how those work in Python: maintainable code, testing, linting, type checking, … are no strange concepts to you.

• You are proficient in “classic” DevOps: strong experience with setting up CI/CD systems with declarative pipelines (GitHub Actions, GitLab CI/CD, “modern” Jenkins, …), monitoring, dev-qa-prod environments, …

• You know your way around tooling for version control and application/library packaging (Git, Poetry, Conda, pip, Docker, …). Experience with advanced version control tools for ML datasets and models (DVC, Azure ML dataset versioning, …) is a strong plus.

• You have great familiarity with the most common ways of storing data: SQL & other databases, blob storage, … especially in the cloud. You have a keen understanding of differences between different storage methods and know when to use which ones.

• You fluently handle deployments with Docker and Kubernetes on Cloud Infrastructure. Experience with modern GitOps tools (e.g. ArgoCD) is a strong plus.

• You have a good knowledge of how Machine Learning models work.

• You have excellent communication skills in English.
  

Why join us?

You’re not just joining a team, you’re stepping into the cockpit of AI innovation, collaborating with the crème de la crème and the brightest minds in the field. We're not just talking about the future of AI - we're actively shaping it. 🌟

• Flexibility: 🌈 work from home, or in our cool Brussels office right next to the central station
• Health: Enjoy comprehensive hospitalization and dental insurance through DKV for you and your loved ones, plus group insurance. Like we said, our people come first. 💝
• Perks: meal and eco vouchers, full transportation cost coverage, monthly fixed cost, internet allowances, … we've got all the extras covered. 🦄
• Opportunities for personal initiative and professional growth. ⚡️
• Equipped with a MacBook Pro, phone subscription, and essential gadgets to keep your skills sharp. 🛠
• Additional Radix holidays, so you can enjoy life outside of work too.