AI Engineer: ML, Azure & Client-Facing AI Solutions

Data Wizards; Vlaams-Brabant; Híbrido; EUR 70.000 - 100.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive salary

Mobility budget / company car

30 days paid time off

Top-tier laptop & smartphone with a订

Representation allowances

Insurance: group, hospitalization & d

Meal vouchers & eco-cheques

Stock options

Descripción de la vacante

Data Wizards is seeking an AI Engineer to collaborate with clients, design and deploy ML models, and drive AI-driven business value. You will work across industries, ensure production readiness, and embrace DevOps/MLOps practices.

We value English fluency, strong Python/SQL skills, and Azure experience. Enjoy a hybrid work model, generous benefits, and opportunities for growth while tackling cutting-edge data projects.

Formación

• Bachelor's or Master's degree in a relevant field (such as business or engineering).
• 3-4 years of experience in a consulting environment or a related AI/ML engineering role.
• Experience intersecting consulting, ML engineering and data science.

Responsabilidades

• Collaborate with clients to define business and technical requirements for AI and data-driven solutions.
• Design, develop, and deploy ML models and AI solutions for various industries.
• Identify and implement AI strategies to drive business value.
• Ensure models are production-ready, scalable, and follow DevOps/MLOps best practices.
• Leverage Azure cloud to optimize data processing and model performance.
• Work with cross-functional teams to deliver high-quality AI solutions.
• Mentor junior team members and share knowledge across the company.

Conocimientos

Python

SQL

ML/AI

NLP

Azure

PyTorch

TensorFlow

DevOps/MLOps

Client-facing

English fluency

Educación

Bachelor's or Master's in relevant field

Descripción del empleo

Data Wizards is seeking an AI Engineer to collaborate with clients, design and deploy ML models, and drive AI-driven business value. You will work across industries, ensure production readiness, and embrace DevOps/MLOps practices.

We value English fluency, strong Python/SQL skills, and Azure experience. Enjoy a hybrid work model, generous benefits, and opportunities for growth while tackling cutting-edge data projects.