- 8+ years of overall experience, including at least 3+ years as a Data Scientist or ML Engineer, ideally in payments, fintech, banking, or another workplace with high-volume transactional data and real-time decisioning.
- Strong proficiency in Python (pandas, scikit-learn, XGBoost/LightGBM, PyTorch or TensorFlow) and SQL.
- Demonstrated experience building and deploying models into production (not just research/exploratory work), with attention to monitoring and retraining considerations.
- Solid understanding of classification, anomaly detection, and imbalanced-class problems (fraud is a classic rare-event problem).
- Experience with cloud data/ML infrastructure (AWS/GCP/Azure - e.g., SageMaker, Vertex AI, Databricks) and standard data engineering tools (Spark, Airflow, or similar).
- Understanding of the regulatory and security constraints of financial services data (PCI DSS, data minimization, access controls).
- Strong communication skills - able to translate model outputs and trade-offs (precision/recall, false positive cost, latency) into business decisions for risk and product stakeholders.

📌 AI/ML Data Scientist (Bengaluru)
🏢 ALTIMETRIK
📍 Bengaluru