QA Engineer- AI/Data Platform Project

Overview

Hybrid
$40 - $58
Contract - W2
Contract - 1 Year(s)

Skills

Automated Testing
Data Modeling
Artificial Intelligence
Microsoft Azure
Scripting
Test Cases
Python
Zephyr
Tosca
JIRA
Databricks
Quality Assurance

Job Details

Job Summary:
Seeking an AI Quality Assurance Data Engineer to support testing and validation of AI/ML analytical models and data pipelines within a modern data lake environment. This role focuses on ensuring data quality, model reliability, and system performance through manual and automated testing.

Key Responsibilities:

  • Execute functional, regression, and performance testing for AI/data platforms

  • Validate data quality across relational systems and data lakes

  • Test AI/ML analytical models for accuracy and reliability

  • Develop and maintain test cases, scripts, and documentation

  • Log and track defects using Jira and Zephyr Scale

  • Collaborate with data scientists, engineers, and product teams

Required Skills:

  • Strong Python and SQL

  • Experience testing data analytics and AI/ML solutions

  • Knowledge of machine learning concepts and model lifecycles

  • Automation testing experience (Tricentis Tosca preferred)

  • Azure experience (including Databricks)

  • Data modeling and data quality validation

  • Jira, Zephyr Scale

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.