Description

You will own the quality assurance and validation of data pipelines and machine learning models.

Responsibilities

• Design and execute test cases to validate statistical models, algorithms, and data transformations.
• Monitor data quality, detect anomalies, and ensure consistency across datasets.
• Collaborate with data scientists, engineers, and QA teams to define test strategies and acceptance criteria.
• Perform exploratory data analysis to uncover hidden issues in data or model behavior.
• Document test results, bugs, and performance metrics to support continuous improvement.

Required Skills

• 3+ years of experience in data science and AI/ML testing.
• Proficiency in Python, SQL, and testing frameworks like PyTest or unittest.
• Experience with machine learning libraries such as SciKit-learn, TensorFlow, or XGBoost.
• Strong understanding of statistical testing, model validation, and data integrity principles.
• Familiarity with CI/CD pipelines and version control using Git or Jenkins.
• Experience building synthetic datasets to simulate edge cases and stress-test models.
• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or related field.

Preferred Skills

• Experience using Oracle AI Data Platform / Oracle Cloud Infrastructure (OCI) including Medallion architecture.
• Knowledge of MLOps and model monitoring tools.

Key Skills

Education

Any Graduate