QA Analyst AI/ML Applications
Posted Today by NMK Global Inc.
Negotiable
Undetermined
Remote
Remote
Summary: The QA Analyst for AI/ML Applications will be responsible for ensuring the quality, reliability, and performance of AI-driven solutions. This role requires extensive experience in software testing, API testing, SQL, AI/ML validation, ETL testing, and automation. The ideal candidate will design and execute testing strategies while collaborating with Data Scientists and ML Engineers. The position is remote and has a duration of 6 months.
Key Responsibilities:
- Design and execute AI/ML testing strategies.
- Validate ML models and prediction accuracy.
- Test APIs and data pipelines.
- Perform functional, regression, and integration testing.
- Validate data quality and ETL workflows.
- Work with Data Scientists and ML Engineers.
- Create automation scripts using Python.
- Prepare test plans and QA documentation.
- Support UAT and production releases.
Key Skills:
- QA Testing
- Functional Testing
- Regression Testing
- Integration Testing
- API Testing (Postman/REST)
- SQL
- Database Testing
- AI/ML Fundamentals
- ETL Testing
- Python
- Selenium
- TestComplete/QTP
- JIRA/Rally
Salary (Rate): undetermined
City: undetermined
Country: undetermined
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Job Title: QA Analyst AI/ML Applications
Location: US (Remote/Default)
Duration: 6 Months (07/10/2026 01/10/2027)
Experience: 8-10 Years
Visa: Any
Job Description
We are looking for an experienced QA Analyst with expertise in AI/ML applications to ensure the quality, reliability, and performance of AI-driven solutions. The ideal candidate should have strong experience in software testing, API testing, SQL, AI/ML validation, ETL testing, and automation.
Roles & Responsibilities
- Design and execute AI/ML testing strategies.
- Validate ML models and prediction accuracy.
- Test APIs and data pipelines.
- Perform functional, regression, and integration testing.
- Validate data quality and ETL workflows.
- Work with Data Scientists and ML Engineers.
- Create automation scripts using Python.
- Prepare test plans and QA documentation.
- Support UAT and production releases.
Required Skills
- QA Testing
- Functional Testing
- Regression Testing
- Integration Testing
- API Testing (Postman/REST)
- SQL
- Database Testing
- AI/ML Fundamentals
- ETL Testing
- Python
- Selenium
- TestComplete/QTP
- JIRA/Rally
Preferred Skills
- Generative AI
- LLM Testing
- Databricks
- Spark
- Airflow
- PyTest
- Healthcare Domain