Job Description
We are seeking skilled AI/ML QA Specialists with strong Databricks experience to ensure the quality, reliability, and regulatory readiness of AI/ML platforms. This role will focus on end-to-end testing of CCAR and ESG projects, covering data pipelines, feature engineering, model training, validation, deployment, and monitoring.

Key Responsibilities
Model Development Platform QA :
• Validate data ingestion, feature engineering, and training pipelines built on Databricks (Spark, Delta, MLflow).
• Design and execute QA strategies for dataset quality, schema validation, lineage, feature consistency, drift checks, and reproducibility.
• Test MLflow experiments, model versioning, and artifacts for completeness and traceability.
• Ensure compliance with model risk management (MRM), audit, and documentation standards. Model Execution / Production Platform QA
• Test model deployment pipelines, including batch and real-time model execution.
• Validate model scoring accuracy, performance, data contracts, SLAs, error handling, and fallback logic.
• Perform regression, performance,



and volume testing for production workloads. Automation & Tooling
• Build and maintain automated test frameworks for data and ML pipelines (Databricks notebooks, PySpark, Python).
• Implement data-driven QA checks (DQ rules, nulls, thresholds, statistical validation).
• Integrate QA into CI/CD pipelines for ML workflows. Required Skills
• 5
- 8+ years of QA or data validation experience.
• Hands-on experience with Databricks (Spark/PySpark, Delta Lake, MLflow).
• Solid Python experience for testing and automation.
• Solid understanding of the ML lifecycle.
• Knowledge of cloud platforms (Azure preferred). Preferred Skills
• Experience with model risk management (MRM) or regulated environments.
• Exposure to feature stores, model monitoring, and drift detection.
• Experience with performance testing at scale in distributed environments. Education
• Bachelors or Masters degree in Computer Science, Data Science, Engineering, or a related field. (ref:hirist.tech)

📌 InfoBeans - AI/ML Quality Assurance Specialist - Python (Indore)
🏢 InfoBeans
📍 Indore