MLOps Engineer: Production-Scale AI & Pipelines

faktionbv1; Antwerpen; Hybride; EUR 60 000 - 80 000; Plein temps

Avantages offerts par ce poste

Company car and fuel card or mobility budget

Comprehensive hospitalization and group insurance

Top-tier laptop and smartphone

Professional growth opportunities

Innovation budget for open-source projects

Flexible hybrid working-policy

Résumé du poste

faktionbv1 in Antwerp is seeking an experienced MLOps Engineer to spearhead the formation of a robust machine learning infrastructure. You'll be deploying cutting-edge AI solutions for our enterprise clients, ensuring technology scales and functions seamlessly in production.

The role demands strong software engineering skills, proven experience in CI/CD, and proficiency in Python. Join us to innovate and lead in the transformative world of AI-centric operations while enjoying a flexible hybrid working policy and a rewarding salary package.

Qualifications

• Excellent written and verbal communication skills in native-English or native-Dutch.
• Experience with cloud computing and database systems.
• Ability to translate business needs to technical requirements.

Responsabilités

• Design and build machine learning pipelines and cloud infrastructure.
• Take offline models and turn them into a production system.
• Develop scalable tools and services for clients.

Connaissances

CI/CD pipelines

Message brokers

Software engineering in Python

Cloud computing

API development

Machine learning systems

Containers and Kubernetes

Infrastructure setup with Terraform

Description du poste

faktionbv1 in Antwerp is seeking an experienced MLOps Engineer to spearhead the formation of a robust machine learning infrastructure. You'll be deploying cutting-edge AI solutions for our enterprise clients, ensuring technology scales and functions seamlessly in production.

The role demands strong software engineering skills, proven experience in CI/CD, and proficiency in Python. Join us to innovate and lead in the transformative world of AI-centric operations while enjoying a flexible hybrid working policy and a rewarding salary package.