ML Engineer - Hybrid Work, Growth & Stock Options

Data Wizards; Vlaams-Brabant; Hybrid; EUR 65,000 - 95,000; Full time

Benefits offered by this job

Competitive salary

Mobility budget or company car with an

Electrical card

30 days paid time off

Top-tier laptop & smartphone

Representation allowances

Group, hospitalization & dental ins.

Meal vouchers & eco-cheques

Stock options

Job summary

Data Wizards is seeking a Machine Learning Engineer to translate business needs into ML requirements, design and deploy scalable ML solutions, and integrate models into client systems. You will build cloud-based ML pipelines following MLOps best practices and monitor models in production while communicating results to non-technical stakeholders.

Ideal candidates have 3+ years delivering AI/ML in production, a Master’s in a STEM field, and experience in client-facing consulting roles.

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 a client-facing role, especially in consulting companies.

Responsibilities

• Translating business needs into technical ML requirements.
• Designing, deploying, and maintaining ML solutions in production.
• Integrating models into client systems and ensuring scalability, reliability, and performance.
• Building cloud-based ML pipelines following MLOps best practices.
• Packaging, serving, and monitoring models in real-world environments.
• Communicating insights and results to non-technical stakeholders to drive client impact.
• Flexibility in responsibilities as a consulting company.

Skills

Python

SQL

Scikit-learn

TensorFlow

PyTorch

LLMs

Prompt engineering

RAG

Deployment at scale

CI/CD

Containerization

Orchestration

Azure

English communication

Education

Master’s degree in Computer Science, Engineering, or STEM

Tools

Docker

Kubernetes

Job description

Data Wizards is seeking a Machine Learning Engineer to translate business needs into ML requirements, design and deploy scalable ML solutions, and integrate models into client systems. You will build cloud-based ML pipelines following MLOps best practices and monitor models in production while communicating results to non-technical stakeholders.

Ideal candidates have 3+ years delivering AI/ML in production, a Master’s in a STEM field, and experience in client-facing consulting roles.