We are looking for an experienced Senior DevOps / MLOps Engineer to join a high-impact project focused on the production deployment of an Anti-Churn Machine Learning system.

The goal of the project is to transition an analytical churn-prevention model from Proof of Concept (PoC) into a fully scalable, production-grade solution.

Key project pillars include:

• Prediction optimization – improving model performance using transactional and behavioral data (Oracle DWH)
• MLOps ecosystem development – full lifecycle automation (CI/CD) using Kubernetes, Apache Airflow, and MLflow
• Explainable AI (XAI) – implementation of SHAP to better understand customer behavior and decision factors
  
  
  
  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
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