💡 MLOps Engineer

As an MLOps Engineer at Dataroots, you'll develop, deploy, and optimize scalable ML pipelines across diverse projects, collaborating with data scientists, cloud architects & data strategists. You'll have the opportunity to mentor colleagues, share knowledge, and stay on top of industry developments.

Requirements

• 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 & SQL, with familiarity of at least one other programming language
• 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. Speaking Dutch/French fluently is a very big advantage
• Consulting experience is a big plus

Benefits

• Attractive salary
• Extralegal benefits
• 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
• Training budget for individual and team learning opportunities
• Tons of team-building events and sports initiatives