Inetum is seeking an experienced Senior DevOps / MLOps Engineer to join a high-impact project focused on the production deployment of an Anti-Churn Machine Learning system. You will play a critical role in transitioning an analytical churn-prevention model from a Proof of Concept into a fully scalable, production-grade solution.
Key responsibilities
- Design and implement stable runtime environments based on Kubernetes (RKE2 / Rancher).
- Build and maintain end-to-end CI/CD pipelines using GitLab CI/CD and Nexus.
- Orchestrate complex data pipelines and batch workloads in Apache Airflow.
- Implement enterprise-grade security standards, including HashiCorp Vault integration and RBAC policies.
- Configure and maintain monitoring and alerting for ML systems using Prometheus, Grafana, and ELK.
Requirements
- 5+ years of experience in DevOps or System Engineering.
- Expert-level knowledge of Kubernetes administration, networking, and storage.
- Hands-on experience with MLOps automation and Apache Airflow orchestration.
- Proven track record delivering secure solutions in regulated industries like FinTech or Banking.
- Solid knowledge of MLflow for tracking, model registry, and serving.
What we offer
- A cafeteria system allowing you to personalize benefits based on your needs.
- Ongoing guidance from a dedicated Team Manager and technical mentoring from an assigned leader.
- A supportive and inclusive work culture with an emphasis on diversity and mutual respect.
- Opportunities to participate in charitable initiatives and local sports programs.