
QA Engineer – AI/ML
2 weeks ago
Key Responsibilities
- Develop and maintain automated test suites for ML pipelines and data workflows using Python and Pytest
- Validate data integrity and model performance using SQL and statistical metrics
- Design QA strategies for scalable ML model deployment (batch, real-time, and streaming)
- Ensure reproducibility, traceability, and auditability of ML experiments using MLflow
- Collaborate with data scientists and ML engineers to identify testing bottlenecks early in the development cycle
- Build and maintain continuous testing pipelines within AWS (especially with SageMaker, Lambda, S3, etc.)
- Conduct performance testing of APIs and model endpoints in production
- Help enforce best practices for version control, test coverage, and CI/CD integration
Required Qualifications
- 3–6 years of QA or SDET experience in software or ML environments
- Strong programming skills in Python (unit testing, scripting, API testing)
- Proficiency in SQL for data validation, transformations, and test scenario building
- Experience with Pytest or other test frameworks
- Solid understanding of machine learning lifecycle, model validation, and data pipelines
- Experience with MLflow for experiment tracking and model management
- Hands-on experience with AWS services, especially SageMaker, S3, Lambda, EC2
- Familiar with CI/CD pipelines and DevOps tools (e.g., GitHub Actions, Jenkins)
Job Types: Full-time, Permanent
Pay: Up to ₹2,000,000.00 per year
Benefits:
- Health insurance
- Provident Fund
Application Question(s):
- Where do you stay in Bangalore?
- What is your current Notice Period?
Work Location: In person
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