Consulting AI Engineer: Production ML & Azure

Data Wizards; Brussel Hoofdstad; Hybrid; EUR 65,000 - 85,000; Full time

Benefits offered by this job

Mobility budget or company car with an

Electrical card

30 days paid time off

Top-tier laptop & smartphone

Company stock over time

Job summary

Data Wizards is seeking an AI Engineer to collaborate with clients, design and deploy ML solutions, and drive AI strategy across industries. You will join a small but ambitious team focused on delivering high-impact data and AI projects.

The role requires hands-on ML experience, cloud proficiency (Azure), and strong client-facing skills in a fast-paced consulting environment. Hybrid work and ongoing growth opportunities are offered.

Qualifications

• Bachelor's or master's degree in a relevant field (business or engineering).
• 3–4 years of experience in a consulting AI/ML engineering role.
• Experience at the intersection of consulting, ML engineering, and data science.

Responsibilities

• Collaborating with clients to define business and technical requirements for AI and data-driven solutions.
• Designing, developing, and deploying machine learning models and AI solutions tailored to various industries.
• Working with stakeholders to identify and implement AI strategies that drive business value.
• Ensuring models are production-ready, scalable, and adhere to best DevOps/MLOps practices.
• Leveraging cloud environments, particularly Azure, to optimize data processing and AI model performance.
• Engaging with cross-functional teams, including data scientists, AI engineers, and consultants, to deliver high-quality AI solutions.

Skills

Python

SQL

NLP

LLMs

PyTorch

TensorFlow

Azure

DevOps/MLOps

Education

Bachelor's degree

Master's degree

Job description

Data Wizards is seeking an AI Engineer to collaborate with clients, design and deploy ML solutions, and drive AI strategy across industries. You will join a small but ambitious team focused on delivering high-impact data and AI projects.

The role requires hands-on ML experience, cloud proficiency (Azure), and strong client-facing skills in a fast-paced consulting environment. Hybrid work and ongoing growth opportunities are offered.