Senior Production ML & MLOps Scientist

In4Matic; Brussel; Sur place; EUR 70 000 - 110 000; Plein temps

Résumé du poste

In4Matic is seeking an experienced AI and Data Science professional to design, develop, and industrialize machine learning solutions for operational needs. The role combines hands-on model work with MLOps, deployment, monitoring, and maintenance, emphasizing on-premise robustness and security.

The candidate should have a Master’s or PhD in CS/AI with 3+ years in data science, ML, and MLOps, and strong Python skills.

Qualifications

• Master's degree or PhD in Computer Science, AI, or a related field.
• At least 3 years of experience in data science, MLOps, and machine learning.
• Clear communicator who can explain technical concepts to non-technical stakeholders.
• Ability to bring together diverse profiles around a shared objective.

Responsabilités

• Design and develop AI and data science solutions tailored to operational needs.
• Build, deploy, monitor, and maintain machine learning pipelines.
• Bring AI models into production, with a strong focus on on-premise deployments.
• Apply strong programming and machine learning standards across projects.
• Keep up to date with developments in MLOps and machine learning.
• Contribute with attention to security, ethics, and legal considerations.

Connaissances

Machine learning

MLOps

Big data environments

Python programming

CI/CD for ML

On-prem deployments

Formation

Master's or PhD in CS/AI

Outils

Docker

Kubernetes

Kubeflow

MLflow

Hugging Face

PyTorch

TensorFlow

scikit-learn

PostgreSQL

Milvus

Git

GitHub

GitLab

OpenCV

vLLM

uv

ruff

black

Azure

AWS

Data lakes

Data warehouses

Description du poste

In4Matic is seeking an experienced AI and Data Science professional to design, develop, and industrialize machine learning solutions for operational needs. The role combines hands-on model work with MLOps, deployment, monitoring, and maintenance, emphasizing on-premise robustness and security.

The candidate should have a Master’s or PhD in CS/AI with 3+ years in data science, ML, and MLOps, and strong Python skills.