💡 MLOps Engineer

🚀 Your role

At Dataroots, we focus on providing state-of-the-art AI solutions to optimize business operations through advanced machine learning operations (MLOps). As an MLOps Engineer, you’ll develop, deploy, and optimise scalable ML pipelines across diverse projects. Your role is critical in ensuring our AI models transition smoothly from experimentation to production, adhering to best practices like CI/CD, automated testing, and model monitoring.

Collaboration with data scientists, machine learning engineers, and cloud architects will be central to your role, allowing you to deliver seamless, efficient ML systems that drive intelligent decision-making for our clients.

🎉 What you’ll find at Dataroots

Since 2016, Dataroots has been committing its excellent consulting services to help clients excel in their data-driven operations. Our approach focuses on team well-being, fostering diversity, and promoting knowledge sharing. By focusing on these values, we've achieved healthy and sustainable growth over the years. Through our consulting services, we actively encourage professional growth by exposing our employees to different industries, tools, technologies,... broadening their scope in the process.
As part of the Talan Group, we are able to take this approach to the next level, adding the element of international mobility to our employees’ career journey.

Join a team where your work will have a direct impact on both our clients and our journey. Learn more about our DNA at [https://dataroots.io/our-dna].

💼 Your Expertise

You bring the following to the table:

• A Master’s degree or equivalent experience in Computer Science, Data Science, or a related field.

• 3+ years of experience in MLOps

• Experience in a client-facing environment.

• Deep knowledge of frameworks like MLflow, Kubeflow, or TensorFlow Extended (TFX).

• Proven track record of setting up CI/CD pipelines for ML projects.

• Strong proficiency in Python, with additional knowledge of Go or Rust as a bonus.

• Experience with cloud services like AWS, Azure, or GCP and understanding their use in scaling ML operations.

• Familiarity with containerization (Docker, Kubernetes) and orchestration tools like Airflow, Prefect or Dagster.

• Familiarity with real-time endpoints and serverless computing for ML deployments.

• Experience with ML versioning tooling, including data versioning and model registries.

• Strong problem-solving skills and the ability to communicate complex concepts clearly.

• Fluency in English and Dutch. French is a plus. 

💰 What we offer

• An attractive salary with extralegal benefits, including:

  • Mobility budget or a company car with fuel/charging card

  • Hospitalization and group insurance

  • High-end laptop

  • Smartphone with subscription

  • Substantial amount of holidays

  • Meal vouchers

  • ...

• 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, with co-working spaces in Charleroi and Antwerp. 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.

🎯 Ready to join Dataroots?

If you’re passionate about advancing MLOps and transforming industries, apply now to become part of our team! 🎉