**Introduction** **Your role and responsibilities** Develop and deploy advanced data science algorithms to analyze service exception signals within SAP Cloud ALM, systematically identifying anomalies and their root causes. The first phase involves identifying the most effective models to detect each type of anomaly from exception patterns. This role combines statistical analysis and machine learning to uncover trends, detect anomalies, and provide actionable insights for service reliability improvement. **Required technical and professional expertise** '- Demonstrated expertise in Python with proficiency in data science libraries (NumPy, Pandas, Matplotlib/Seaborn) - Hands-on experience with machine learning frameworks (scikit-learn, XGBoost, LightGBM, or similar) - Proven track record of implementing production-grade ML models for: - Regression - Classification - Clustering - Strong object-oriented programming skills in Python with understanding of design patterns - Experience with data aggregation, transformation, and manipulation at scale - Proficiency in writing clean, maintainable, and well-tested code - Practical experience designing and deploying cloud-based AI applications or microservices (FastAPI, Flask, or similar frameworks) - Hands-on experience with containerization technologies (Docker) - Working knowledge of CI/CD pipeline configuration and automation (Jenkins, GitLab CI, GitHub Actions, or similar) - Experience with cloud application development lifecycle including unit testing and integration testing - Familiarity with Kubeflow components and data pipeline orchestration - Experience working with relational databases (PostgreSQL, SAP HANA, MySQL, or similar) **Preferred technical and professional experience** '- Experience with SAP Data Intelligence graph-based workflows - Programming experience in enterprise languages (ABAP for SAP integration, Java for microservices) IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.