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
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed