Data Scientist - MLops Engineer

☞ Sparagus

Ver: 180

Día de actualización: 16-11-2025

Ubicación: Brussels Brussels Capital

Categoría: Producción / Operación

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Contenido de trabajo

Medior / Data Scientist - MLops Engineer

About role

We are looking for a Data Scientist / MLops Engineer with proven experience in Machine Learning Operations in order to improve and automate machine learning pipeline and facilitate our data science activities. He or she must have clear understanding of the processes and best practices that automate and scale the deployment of ML applications in different ecosystems. The candidate should be able to understand user requirements and develop or enhance existing processes. This role requires the candidate to identify and communicate the technical infrastructure requirements to deploy solutions.

Our ideal candidate is (able to)

  • Lead the technical planning & requirements gathering phases including estimate, develop, test, manage projects and deliver value in an Agile environment.
  • Development, testing, deployment and roll-out to production using best practices.
  • Analyze, understand, and document the business processes in detail where required.
  • Hands on developing preferably in Python (Pytorch, Numpy, Sklearn, pandas, Flask etc.).
  • Being familiar in any of these technologies: Azure (Devops, ML Studio), or GCP (Data, ML & AI), or AWS (Sagemaker, S3); Docker; Kubernetes; Spark; Kafka.

  • Serve as a technical lead and mentor. Provide technical support or leadership in the development and continual improvement of service.
  • Being independent, but also lead teams and organize delivery.
  • A problem solver with the desire and proven ability to create innovative solutions.
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Plazo: 31-12-2025

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