AI/ML QA Engineer - Validate Models & Data Pipelines

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

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.