A
Altimetrik
AI/ML Data Scientist
Skills
Google Cloud PlatformSQL QueriesData EngineeringPythonpandasPyTorchTensorFlowDatabricksMachine LearningAIAWSApache AirflowAzure
1 month ago
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Important information
Contract type:
Permanent
Salary:
₹50,000 – ₹300,000 / year
Location:
Bengaluru, Karnataka, India
Work mode:
Hybrid
Published on:
30 September 2026
What they need
- 8+ years of overall experience, including at least 3+ years as a Data Scientist or ML Engineer, ideally in payments, fintech, banking, or another environment 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.
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