AI Engineer (MLOps & LLMOps)

dataroots, a Talan company; Vlaams-Brabant; Hybride; EUR 80 000 - 110 000; Plein temps

Avantages offerts par ce poste

Mobility budget or company car

Hospitalisation and group insurance

High-end laptop

Smartphone with subscription

Generous holidays

Training budget

Team-building events

Diverse work environment

Résumé du poste

Dataroots, part of the Talan Group, is seeking an experienced AI engineer to design, build and deploy ML and GenAI solutions. You will productionize AI workloads, implement CI/CD pipelines and ensure observability and governance across deployments.

You will work with Python/SQL, cloud platforms, and containerized environments, collaborating with clients across industries to deliver measurable business value.

Qualifications

• 3+ years of experience building, deploying and operating AI systems in production.
• Strong software engineering skills with Python and SQL and solid engineering practices.
• Experience with GenAI applications and LLMOps practices including observability and governance.
• Experience designing CI/CD pipelines for AI apps and deploying on major cloud platforms.
• Excellent communication and ability to explain complex tech to clients.

Responsabilités

• Design, build and deploy AI solutions that deliver business value.
• Productionize AI workloads and automate testing and releases.
• Design robust deployment pipelines with monitoring and observability.
• Help create scalable, reliable AI systems across lifecycle management.
• Work with CI/CD, containerization and major cloud platforms in production.

Connaissances

Python

SQL

GenAI

LLMOps

CI/CD

Cloud platforms

AI deployment

Communication

Outils

Docker

Kubernetes

MLFlow

Terraform

Description du poste

At Dataroots, we deliver end-to-end data and AI solutions, from strategy and platform design to data engineering and AI-enabled systems. That broad scope is reflected in our team: AI engineers, data engineers, cloud architects, and data strategists. Each discipline brings its own expertise, but we share knowledge, perspectives, and a common way of thinking across disciplines.

Within that team, you design, build and deploy AI solutions that deliver tangible business value for our clients across a variety of industries, spanning classical ML, modern GenAI, and Agentic AI use cases. Beyond developing AI solutions, you have a particular passion for bringing them into production. You design robust deployment pipelines, automate testing and releases, implement monitoring and observability, and help build AI systems that remain reliable, scalable and maintainable throughout their lifecycle.

By combining strong AI engineering skills with expertise in MLOps and LLMOps, you help clients operationalize AI at scale. Whether it's deploying machine learning models, productionizing GenAI applications, or improving the reliability and governance of AI systems, you ensure solutions are built to create lasting business value.

You bring the following to the table:

• A deep passion for Artificial Intelligence and modern AI engineering practices.
• At least 3 years of experience building, deploying and operating AI systems in production.
• Strong software engineering skills, with excellent proficiency in Python and SQL and a solid understanding of software engineering best practices.
• Experience building modern GenAI applications and familiarity with LLMOps practices such as prompt management, evaluation frameworks, retrieval-based systems, guardrails, AI observability and LLM lifecycle management.
• Experience designing and maintaining CI/CD pipelines for AI applications.
• Hands-on experience with containerization and orchestration tooling.
• Experience deploying AI workloads on at least one major cloud platform (AWS, Azure or GCP).
• A solid understanding of MLOps practices including experiment tracking, model lifecycle management, CI/CD, automated testing, monitoring, observability and versioning.
• Strong communication skills and the ability to simplify complex technical concepts for clients.
• A pragmatic, business-oriented mindset: able to translate business problems into technical scopes and help AI solutions land, with a focus on product thinking and real business value.
• Experience working in consulting is a strong plus.
• Fluency in English. Dutch and/or French is a significant advantage.

Not every box needs to be ticked to be a great fit. If you’re excited about the role and eager to grow, we’d still love to hear from you.

We’re a data & AI consulting company where people, growth, and impact go hand in hand. Since our early days, we’ve built a culture that values collaboration, knowledge sharing, and an environment where individuals can thrive. This focus has allowed us to grow steadily while staying true to what matters: delivering meaningful results for our clients and creating a place where people enjoy doing their best work.

Working at Dataroots means gaining exposure to a wide range of industries, challenges, and technologies. You’ll have the opportunity to step outside your comfort zone, while being supported by experienced colleagues who are always ready to share their expertise.

As part of the Talan Group, we further extend these opportunities by offering an international dimension to your career path.

What we offer

• An attractive salary with extralegal benefits, including:

• Mobility budget or a company car with fuel/charging card
• Hospitalisation and group insurance
• High-end laptop
• Smartphone with subscription
• Substantial amount of holidays
• ...

• Diverse and welcoming work environment, where you’ll collaborate & unwind with colleagues from different cultures and disciplines. The organisation of both fun & professional events and initiatives is actively encouraged and supported.
• A training budget for individual and team learning opportunities.
• Tons of team-building events and sports initiatives to stay connected and unwind.

Where you’ll work

Our main offices are in Leuven and Ghent. These spaces are perfect for both focusing and unwinding with colleagues, as well as brainstorming sessions and team events.

While much of your work can be performed remotely, you will also work on-site with clients.