QA Tester
1 week ago
**QA Tester - Machine Learning**
**Experience**: 1-2 Years
**Location**: Netaji Subhash Place, Delhi
**Employment Type**: Full-time
**Job Summary**:
**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.
- 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.
Pay: ₹20,000.00 - ₹30,000.00 per month
**Benefits**:
- Health insurance
- Provident Fund
Work Location: In person
**Speak with the employer**
+91 8178295650
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