ML Engineer - Production AI & Data Solutions (Hybrid)

Data Wizards; Machelen; Hybrid; EUR 70,000 - 110,000; Full time

Benefits offered by this job

Mobility budget

Company stock

Laptop & smartphone

Meal vouchers

Healthcare & dental insurance

Team-building events

Job summary

Data Wizards in Belgium is seeking a Machine Learning Engineer to translate business needs into scalable ML solutions. You will design, deploy, and maintain models, integrate them with client systems, and build cloud-based ML pipelines in line with MLOps best practices.

You will work with a consulting-friendly team, communicating insights to non-technical stakeholders and thriving in a hybrid setup with opportunities for growth and training.

Qualifications

• Master’s degree in Computer Science, Engineering, or another STEM field
• 3+ years of hands-on experience delivering AI/ML solutions in production
• Experience in client-facing role, especially in consulting companies

Responsibilities

• Translate business needs into technical ML requirements
• Design, deploy, and maintain ML solutions in production
• Integrate models into client systems ensuring scalability, reliability and performance
• Build cloud-based ML pipelines following MLOps best practices
• Package, serve, and monitor models in real-world environments
• Communicate insights and results to non-technical stakeholders to drive client impact
• Be prepared for evolving responsibilities in a consulting environment

Skills

ML model design

LLM techniques

Python

SQL

CI/CD

Cloud/Azure

Model deployment

Communication

Education

Master’s degree in CS/Engineering

Tools

Scikit-learn

TensorFlow

PyTorch

Job description

Data Wizards in Belgium is seeking a Machine Learning Engineer to translate business needs into scalable ML solutions. You will design, deploy, and maintain models, integrate them with client systems, and build cloud-based ML pipelines in line with MLOps best practices.

You will work with a consulting-friendly team, communicating insights to non-technical stakeholders and thriving in a hybrid setup with opportunities for growth and training.