AI Quality Engineer

Saint Louis, MO, US • Posted 1 day ago • Updated 1 day ago

Contract W2

On-site

Depends on Experience

Fitment

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Job Details

Skills

MEAN Stack
FOCUS
Good Clinical Practice
Google Cloud
Google Cloud Platform
Kubernetes
Artificial Intelligence

Summary

We are looking for AI Quality Engineer for our client in Saint Louis, MO

Job Title: AI Quality Engineer

Job Location: Saint Louis, MO

Job Type: Contract

Job Description:

Responsibilities:

Define and execute end-to-end testing and validation frameworks for AI services, encompassing machine learning models, agentic workflows, and automation solutions. Focus on rigorous model and data validation, real-time observability, and the implementation of autonomous test generation.
Data Quality Auditing: Validating training and testing datasets for bias, noise, and completeness.
Model Performance Testing: Defining and tracking metrics beyond simple such as Precision-Recall curves, F1-score, and Mean Absolute Error (MAE)
Adversarial Testing: Intentionally providing ' prompt injections or perturbed images to see if the model breaks or leaks sensitive data
Drift Detection: Monitoring production models for concept drift (changes in real-world data patterns) and data drift.
Fairness Monitoring: Ensuring the model's outputs remain ethical and do not discriminate against specific demographics over time.
Candidates will be the primary gatekeeper for AI Governance and compliance, ensuring the model adheres to Equifax AI standards.
Design comprehensive test cases and strategic test plans to validate RPA solutions (UiPath) for both new implementations and existing systems. Document detected defects and manage their lifecycle through to resolution.
Validate the Hand-off points where an AI Agent triggers a PRA bot to perform a structural task.

Recommended Qualification and Experience:

5+ years in Software Quality Engineering, with at least 2 years focused on AI/ML, UiPath automation testing.
Understanding of OCR (Optical Character Recognition), NLP (Natural Language Processing), and LLM architectures
Possesses prior experience in scripting, as well as experience with and Google Cloud Platform (Google Cloud Platform).
Proficient in system integrations utilizing technologies such as SQL, REST APIs, and Google Kubernetes Engine (GKE).

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.

Dice Id: 10516350
Position Id: MO_XPAQ_0119
Posted 1 day ago

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AI Quality Engineer

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