Software Quality Assurance Engineer

nexacode; United States; On-site; USD 70,000 - 110,000; Full time

Job summary

nexacode is seeking a QA Engineer with AI/ML experience to test and validate AI-powered applications, machine learning models, and data pipelines. You will create test plans, evaluate model accuracy, and build automated scripts to ensure high quality and performance across our AI products.

Design and execute functional, regression, and performance tests for AI/ML features, validate model outputs, and work with Data Scientists and Developers to report defects and improve model quality.

Qualifications

• 3+ years of QA and test automation experience.
• Basic understanding of AI/ML concepts and model testing.
• Hands-on Python and API testing experience.
• Strong SQL skills for data verification and querying.

Responsibilities

• Design and execute functional, regression, and performance test plans for AI/ML features.
• Validate ML model outputs, testing for accuracy, edge cases, data drift, and unexpected responses.
• Build and maintain test automation scripts using Python to validate APIs and backend services.
• Work with Data Scientists and Developers to identify bugs and improve model quality.
• Perform data validation to ensure training and input datasets are clean and accurate.

Skills

QA professional

Test automation

Analytical thinking

SDLC understanding

Tools

Python

Postman

REST APIs

SQL

Jira

Job description

We are looking for a QA Engineer with AI/ML experience to test and validate AI-powered applications, machine learning models, and data pipelines. In this role, you will create test plans, evaluate model accuracy, and build automated scripts to ensure high quality and performance across our AI products.

Key Responsibilities:

• Design and execute functional, regression, and performance test plans for AI/ML features.
• Validate ML model outputs, testing for accuracy, edge cases, data drift, and unexpected responses.
• Build and maintain test automation scripts using Python to validate APIs and backend services.
• Work closely with Data Scientists and Developers to identify bugs, report defects, and improve model quality.
• Perform data validation to ensure training and input datasets are clean and accurate.

Requirements:

• 3+ years of experience in Software Quality Assurance (QA) and test automation.
• Basic understanding of AI/ML concepts and model testing techniques.
• Hands-on experience with Python and API testing tools (Postman, REST APIs).
• Strong proficiency with SQL for data verification and database querying.
• Solid understanding of SDLC, Agile methodology, and defect management tools (Jira).