ML Engineer - Remote | Production AI for Energy Grid

Visser & Van Baars; Luik; On-site; EUR 60,000 - 90,000; Full time

Benefits offered by this job

Home working

Competitive salary

International team

Job summary

Visser & Van Baars in Liège is seeking a Machine Learning Engineer to build and maintain AI/ML solutions behind the company’s products. You take full responsibility for models in production, keeping them reliable and scalable, and automating training pipelines.

You will join the software team to integrate models into customer-facing applications and internal systems. The role is hands-on with ownership, offering an international environment and opportunities to learn new technologies in English

Qualifications

• MSc in Computer Science or Data Science or equivalent.
• Hands-on experience with advanced ML algorithms and statistical methods.
• Experience querying databases, web services, and using statistical languages.
• Experience automating ML model variations using scripts or CI pipelines.
• Proficiency in Python and SQL.
• Demonstrated experience deploying ML models in production.
• Strong time series data processing experience.
• Excellent written and spoken English and French.
• Comfortable in an international environment with remote teams.
• A genuine appetite for learning new technologies.

Responsibilities

• Design, implement, and optimize domain-specific AI/ML algorithms using sensor data and other sources.
• Own ML models in production: ensure reliability, scale, and automated training pipelines.
• Support software development frameworks with sample algorithms and libraries.
• Provide technical support to customers and internal teams.

Skills

Python

SQL

Time series analysis

ML pipelines

Cloud services

Education

MSc in Computer Science or Data Science

Tools

CI pipelines

REST APIs

ONNX

Job description

Visser & Van Baars in Liège is seeking a Machine Learning Engineer to build and maintain AI/ML solutions behind the company’s products. You take full responsibility for models in production, keeping them reliable and scalable, and automating training pipelines.

You will join the software team to integrate models into customer-facing applications and internal systems. The role is hands-on with ownership, offering an international environment and opportunities to learn new technologies in English