InfoBeans - AI/ML Quality Assurance Specialist - Python
Core
Ensure quality, reliability, and regulatory readiness of AI/ML platforms through end-to-end testing of data pipelines, feature engineering, model training, validation, deployment, and monitoring.
Role type
Senior IC AI/ML Quality Assurance Specialist
Builds
Automated test frameworks for data and ML pipelines integrated into CI/CD
Domain
Financial services (CCAR, ESG) + Data Engineering + Machine Learning
Deliverable
production ML models
Required skills
Databricks (Spark, Delta, MLflow), Python, data pipeline testing, feature engineering validation, model risk management compliance, cloud platforms (Azure)
Preferred skills
Model risk management (MRM) in regulated environments, feature stores, model monitoring, drift detection, large-scale performance testing
Technologies
Databricks, PySpark, Delta Lake, MLflow, Azure
Responsibilities
Validate data ingestion, feature engineering, and training pipelines; Design and execute QA strategies for dataset quality, schema validation, lineage, and drift checks; Test model deployment pipelines and validate scoring accuracy; Build and maintain automated test frameworks for ML workflows; Perform regression, performance, and volume testing for production workloads
Seniority
Senior, hands-on IC