Lead Automation Test Engineer - Machine Learning

Role & responsibilities:

• 6 - 8 years of experience in software testing and test automation, with practical exposure to AI/ML or data-intensive applications.
• Strong programming expertise in Python and hands-on experience with PyTest or equivalent test frameworks.
• Good understanding of supervised and unsupervised machine learning concepts, model lifecycle, feature engineering, and statistical validation.
• Hands-on knowledge of model evaluation metrics for classification, regression, forecasting, and imbalanced datasets.
• Experience testing data pipelines, APIs, microservices, databases, and batch-processing workflows.
• Experience with Git-based workflows and CI/CD pipelines.
• Working knowledge of ML-Ops concepts such as model registry, experiment tracking, deployment, monitoring, drift, and retraining.
• Knowledge of Azure, AWS, Databricks, or equivalent cloud/data platforms.
• Familiarity with SQL and relational or NoSQL databases.