Machine Learning Engineer

Rezolve Ai; Brussel Hoofdstad; Sur place; EUR 75 000 - 115 000; Plein temps

Résumé du poste

Rezolve AI is seeking a senior AI/ML engineer to design, deploy and maintain scalable AI services in production.

You will own end-to-end model lifecycle, from development and testing to packaging and monitoring, ensuring reproducibility and interpretability.

Qualifications

• 6–8 years of AI/ML/Advanced Analytics experience in production environments.
• 5+ years of Python programming with hands-on expertise in pandas, scikit-learn and XGBoost.
• Hands-on experience with Microsoft Azure & Azure Machine Learning (Azure ML).
• End-to-end AI/ML deployment including model development, testing, packaging and independent production deployment.

Responsabilités

• Develop and deploy scalable AI/ML models and services to production.
• Monitor and troubleshoot AI/ML services post-deployment to ensure reliability.
• Ensure reproducibility and interpretability of ML models across the lifecycle.
• Collaborate with teams to maintain production-grade ML systems and dashboards.

Connaissances

AI/ML/Advanced Analytics experience

Python

pandas

scikit-learn

XGBoost

Azure Machine Learning

Outils

Azure ML tooling

Description du poste

6–8 years of AI/ML/Advanced Analytics experience, with strong hands-on experience deploying and maintaining AI/ML models and services in production.

5+ years of Python, with strong experience in pandas, scikit-learn, and XGBoost.

Microsoft Azure & Azure Machine Learning (Azure ML) – hands-on experience required.

End-to-end AI/ML deployment – experience with model development, testing, serving, packaging, and independently deploying services to production.

Production monitoring & troubleshooting – experience monitoring, maintaining, and troubleshooting AI/ML services after deployment.

ML model reproducibility & interpretability – ability to build and maintain reproducible and interpretable ML models.