Data Scientist

In4Matic; Brussel; À distance; 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

Function

Our client is looking for an experienced AI and Data Science professional to support the design, development, and industrialization of machine learning solutions for operational and tactical needs. This opportunity combines hands‑on model development with MLOps, deployment, monitoring, and maintenance in an environment where robustness, scalability, and security matter.

Responsibilities

• 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.

Technical Skills

• Strong experience in machine learning, MLOps, and big data environments.
• Proven ability to deploy ML models at scale in on-premise and cloud settings.
• Solid theoretical and practical knowledge of machine learning and deep learning.
• Experience with data pipeline design, model lifecycle management, and CI/CD for ML.
• Knowledge of containerization and orchestration tools such as Docker, Kubernetes, and Kubeflow.
• Experience with ML platforms and tooling such as MLflow and similar pipeline frameworks.
• Strong understanding of SQL and NoSQL databases, including PostgreSQL, MySQL, Neo4j, and Milvus.
• Experience working with large structured and unstructured datasets.
• Familiarity with data storage solutions such as data lakes, data warehouses, and object storage.
• Ability to design end‑to‑end ML system architectures with scalability, robustness, maintenance, and hardware constraints in mind.
• Programming in Python is required; R is considered a plus.
• Experience with tools and frameworks such as Hugging Face, PyTorch, TensorFlow, scikit-learn, OpenCV, vLLM, Git, GitHub, GitLab, and code quality tools such as uv, ruff, and black.
• Experience with cloud platforms such as Azure and AWS.

Profile

• 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.
• Strong analytical thinking and structured problem‑solving skills.
• Clear communicator who can explain technical concepts to non‑technical stakeholders.
• Ability to bring together diverse profiles around a shared objective.
• Strong sense of priorities, with the ability to adapt quickly when circumstances change.
• Collaborative mindset and attention to detail.
• Rigorous working style, with consistent documentation and quality focus.

Practical Information

• Languages required: fluent English and one of the two national languages, Dutch or French.

Contactperson & Reference

• Reference #: INW27942
• Marilyn Weytens
• [e-mail]