QA Tester – Machine Learning

QA Tester – Machine Learning

Experience: 1–2 Years
Location: Netaji Subhash Place, Delhi
Employment Type: Full-time

Job Summary:

We are looking for a passionate and detail-oriented QA Tester with 1–2 years of experience to join our AI team. In this role, you will work closely with AI-ML engineers and software developers to ensure the quality and reliability of ML models, data pipelines, and model-integrated applications.

Key Responsibilities:

• Design, develop, and execute test plans and test cases for ML models and data pipelines.
• Validate model outputs against ground truth datasets, with a focus on evaluating classification performance metrics like accuracy, precision, recall, F1-score, and ROC-AUC.
• Perform functional, regression, and integration testing for applications incorporating ML models.
• Collaborate with ML engineers to ensure testability and performance of models.
• Write scripts to automate model testing and data validation.
• Identify, record, document, and track bugs and model anomalies.
• Ensure data quality and consistency in training and inference pipelines.
• Test and validate APIs serving ML models in production.
• Contribute to continuous improvement of QA processes and tools.

Required Skills & Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 1–2 years of experience in QA/testing roles, preferably in ML or data-heavy environments.
• Solid understanding of QA methodologies, tools, and processes.
• Experience in testing REST APIs and working with tools like Postman or Swagger.
• Basic knowledge of Python, with experience in test automation using PyTest or similar frameworks.
• Familiarity with ML concepts and Docker.
• Hands-on experience working with structured/unstructured datasets.
• Ability to write clear, concise, and comprehensive test cases and test reports.

Preferred Qualifications:

• Experience with ML libraries like scikit-learn, TensorFlow, or PyTorch.
• Exposure to data annotation, labeling, or synthetic data generation tools.
• Familiarity with version control systems (e.g., Git) and CI/CD workflows.
• Knowledge of SQL or MongoDB for data validation.
• Understanding of data drift, model degradation, and ML lifecycle monitoring.

Why Join Us?

• Work on real-world ML products with a measurable impact.
• Collaborate with a dynamic and skilled team.
• Opportunity to grow in both QA and ML domains.
• Flexible work environment and supportive culture.

Job Type: Full-time

Pay: ₹20,000.00 - ₹30,000.00 per month

Benefits:

• Health insurance
• Provident Fund

Work Location: In person

Speak with the employer
+91 8178295650