Strong Python programming experience, especially with pandas, numpy, matplotlib, seaborn.
Experience in building monitoring dashboards or visualizations (e.g., Plotly, Dash, Streamlit).
Understanding of ML model evaluation metrics (e.g., precision, recall, drift, AUC).
Familiarity with model risk management concepts or frameworks.
Ability to write clean, well-documented code for reproducibility and audit-readiness.
Comfortable interpreting and working with structured model output and log files.
Excellent attention to detail and communication skills.
Should have Experience in Banking Domain
Preferred candidate profile
Notice Period: Immediate to 30 Days
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Data Platform EngineerEmployement Type: Full time