Experience Required: 58 Years
Employment Type: Full-Time
Work Mode: Hybrid
Location: Lahore / Karachi / Islamabad Pakistan
Job Summary
We are looking for a Senior AI QA Engineer with 58 years of experience in software quality assurance test automation and validation of AI/ML and data-driven systems. The role involves defining test strategies building and maintaining automation frameworks API testing CI/CD integration and end-to-end testing of AI and data pipelines.
The ideal candidate will work closely with Engineering Data ML and DevOps teams to ensure high-quality scalable and reliable AI solutions in a fast-paced collaborative environment.
Key Responsibilities
- Define and execute test plans test strategies and test cases for AI/ML and data-driven applications
- Design develop and maintain automated test frameworks using Selenium and Pytest
- Perform API testing for RESTful services
- Validate data pipelines ETL workflows and ML model outputs
- Conduct end-to-end testing across the AI/ML lifecycle including data ingestion model training inference and deployment
- Integrate automated test suites into CI/CD pipelines
- Perform regression integration system and performance testing
- Identify document prioritize and track defects through resolution
- Collaborate closely with Data Engineers ML Engineers and DevOps teams
- Ensure adherence to QA standards best practices and compliance requirements
- Provide guidance and mentorship to junior QA engineers when required
Required Skills
- Strong experience in Software Quality Assurance
- Test Planning and Test Strategy
- Test Automation
- Selenium
- Pytest
- Python
- API Testing (REST)
- CI/CD Integration
- Data Pipeline Testing
- AI/ML Pipeline Testing
- Regression and Integration Testing
- Defect Tracking and Reporting
- Git / Version Control
Preferred Skills
- ML model validation (accuracy drift bias)
- Experience with cloud platforms (AWS Azure or GCP)
- Docker and Kubernetes
- Performance and Load Testing
- Data Quality and Monitoring frameworks
Required Experience:
Senior IC
Experience Required: 58 YearsEmployment Type: Full-TimeWork Mode: HybridLocation: Lahore / Karachi / Islamabad PakistanJob SummaryWe are looking for a Senior AI QA Engineer with 58 years of experience in software quality assurance test automation and validation of AI/ML and data-driven systems. The...
Experience Required: 58 Years
Employment Type: Full-Time
Work Mode: Hybrid
Location: Lahore / Karachi / Islamabad Pakistan
Job Summary
We are looking for a Senior AI QA Engineer with 58 years of experience in software quality assurance test automation and validation of AI/ML and data-driven systems. The role involves defining test strategies building and maintaining automation frameworks API testing CI/CD integration and end-to-end testing of AI and data pipelines.
The ideal candidate will work closely with Engineering Data ML and DevOps teams to ensure high-quality scalable and reliable AI solutions in a fast-paced collaborative environment.
Key Responsibilities
- Define and execute test plans test strategies and test cases for AI/ML and data-driven applications
- Design develop and maintain automated test frameworks using Selenium and Pytest
- Perform API testing for RESTful services
- Validate data pipelines ETL workflows and ML model outputs
- Conduct end-to-end testing across the AI/ML lifecycle including data ingestion model training inference and deployment
- Integrate automated test suites into CI/CD pipelines
- Perform regression integration system and performance testing
- Identify document prioritize and track defects through resolution
- Collaborate closely with Data Engineers ML Engineers and DevOps teams
- Ensure adherence to QA standards best practices and compliance requirements
- Provide guidance and mentorship to junior QA engineers when required
Required Skills
- Strong experience in Software Quality Assurance
- Test Planning and Test Strategy
- Test Automation
- Selenium
- Pytest
- Python
- API Testing (REST)
- CI/CD Integration
- Data Pipeline Testing
- AI/ML Pipeline Testing
- Regression and Integration Testing
- Defect Tracking and Reporting
- Git / Version Control
Preferred Skills
- ML model validation (accuracy drift bias)
- Experience with cloud platforms (AWS Azure or GCP)
- Docker and Kubernetes
- Performance and Load Testing
- Data Quality and Monitoring frameworks
Required Experience:
Senior IC
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