MLOps Engineer: Scale Production ML Pipelines

Faktion; Antwerpen; Sur place; 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

Innovation budget for open-source projects

Virtual team-building activities

Résumé du poste

A leading tech company in Antwerp seeks a seasoned MLOps Engineer to spearhead their inaugural MLOps team and deploy cutting-edge AI solutions for enterprise clients. You will design machine learning pipelines and cloud infrastructure while ensuring the performance and security of the systems. Candidates should have strong software engineering skills, especially in Python, and experience with CI/CD processes, cloud computing, and container orchestration. This role offers a rewarding salary package and a flexible hybrid working policy.

Qualifications

• Excellent written and verbal communication skills in native English or native Dutch.
• Experience in setting up CI/CD pipelines.
• Strong software engineering skills in complex systems with fluency in Python.
• Ability to set up APIs using serverless functions.

Responsabilités

• Design and build machine learning pipelines and cloud infrastructure.
• Turn offline models into a real machine learning production system.
• Develop scalable tools and services for machine learning training and inference.
• Implement security best practices to safeguard sensitive data.

Connaissances

Communication skills (English/Dutch)

CI/CD pipelines setup

Experience with message brokers

Software engineering skills (Python)

Cloud computing experience

API setup

ML systems development

Containers and Kubernetes experience

Infrastructure setup (Terraform/Bicep)

Outils

Azure DevOps

GitHub Actions

Kubernetes

Terraform

Bicep

Description du poste

A leading tech company in Antwerp seeks a seasoned MLOps Engineer to spearhead their inaugural MLOps team and deploy cutting-edge AI solutions for enterprise clients. You will design machine learning pipelines and cloud infrastructure while ensuring the performance and security of the systems. Candidates should have strong software engineering skills, especially in Python, and experience with CI/CD processes, cloud computing, and container orchestration. This role offers a rewarding salary package and a flexible hybrid working policy.