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