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Ml Tester Jobs (NOW HIRING)

Build training and inference code with reproducibility, versioning, and automated testing ... Strong Python skills and experience with ML frameworks (TensorFlow/PyTorch). * Experience with ...

Assess AI/ML and generative AI-powered features for risks such as prompt injection, insecure output ... Conduct mobile application security testing and reverse engineering, including hardcoded ...

"- Translate data science prototypes into production-grade ML services and pipelines. - Build training and inference code with reproducibility, versioning, and automated testing. - Implement scalable ...

ML Engineer

Deerfield, IL · On-site

$110K - $135K/yr

Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross-functional Agile team to ...

ML frameworks (TensorFlow, PyTorch, scikit-learn). Feature store integration, model serving via low ... Model development, feature engineering, model serving infrastructure, A/B testing integration ...

ML Engineer

Conroe, TX · On-site

$110K - $140K/yr

Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross-functional Agile team to ...

AI/ML Engineer Contract End Date: 3/31/27 Remote Position Overview: We are seeking a Senior AI/ML ... Azure DevOps to automate application build, testing, validation, security checks, and deployment ...

The role involves developing AI/ML applications, fine-tuning models, and driving automation in testing processes. Responsibilities : • Experience in AI/ML development, with focus on OpenAI services ...

Develop automated pipelines for model training, validation, testing, deployment, and monitoring * Create reusable frameworks, libraries, and shared components that accelerate AI/ML development

Develop automated pipelines for model training, validation, testing, deployment, and monitoring * Create reusable frameworks, libraries, and shared components that accelerate AI/ML development

Design, implement, and maintain ML pipelines for training, testing, and deploying AIML models. Manage and optimize cloud-based ML infrastructure (GCP Vertex AI, AWS SageMaker, or equivalent)

QE Automation Engineer (AI/ML)

Sunnyvale, CA · On-site

$85K - $110K/yr

Developing and maintaining automated tests for AI/ML models, including data validation, model performance testing, and integration testing * Implementing and managing the continuous integration ...

Develop automated pipelines for model training, validation, testing, deployment, and monitoring * Create reusable frameworks, libraries, and shared components that accelerate AI/ML development

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Ml Tester information

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How much do ml tester jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for ml tester in the United States is $47.54, according to ZipRecruiter salary data. Most workers in this role earn between $37.50 and $56.01 per hour, depending on experience, location, and employer.

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Onsite C2C Role: AI Quality Engineer at Atlanta, GA

Atlanta, GA • On-site

$69K - $89K/yr

Other

Posted 11 days ago


Job description

Quality Engineer with AI

Location: Atlanta, GA (Only local)
Duration: 6-12 months


Key Responsibilities

  • Design and execute comprehensive test strategies for AI/ML-based applications and intelligent systems.

  • Validate AI model performance, accuracy, fairness, robustness, and reliability.

  • Develop automated testing frameworks for web, mobile, APIs, and AI-powered applications.

  • Create and execute test cases for model inference, prompt testing, hallucination detection, and response validation.

  • Perform functional, integration, regression, performance, and security testing.

  • Validate training datasets, model outputs, and data pipelines to ensure quality and consistency.

  • Collaborate with Data Scientists, AI Engineers, Product Managers, and Developers throughout the development lifecycle.

  • Monitor AI system behavior in production and identify quality improvement opportunities.

  • Define quality metrics, KPIs, and dashboards for AI solution performance.

  • Identify testing bottlenecks and implement process improvements.

  • Ensure compliance with responsible AI principles, privacy requirements, and organizational quality standards.

  • Support continuous integration and continuous testing within DevOps pipelines.


Required qualifications

  • Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.

  • 4+ years of experience in Software Quality Engineering, QA Automation, or Testing.

  • 2+ years of experience testing AI/ML-based applications or data-driven systems.

  • Strong understanding of Software Testing Life Cycle (STLC) and SDLC.

  • Experience with test automation tools and frameworks.

  • Knowledge of machine learning concepts, model validation techniques, and data quality testing.

  • Experience in API, UI, and backend testing.

  • Strong analytical, troubleshooting, and problem-solving skills.

  • Excellent communication and collaboration skills.


Technical Skills

  • Quality Engineering

  • Test Strategy & Planning

  • Manual & Automated Testing

  • Functional & Regression Testing

  • API Testing

  • Performance & Security Testing

  • Defect Management

  • AI/ML Testing

  • Model Validation & Evaluation

  • Prompt Testing

  • Hallucination Detection

  • Bias & Fairness Testing

  • Data Validation & Data Quality Testing

  • AI Performance Monitoring

  • Automation Tools

  • Selenium

  • Playwright

  • Cypress

  • Postman

  • Rest Assured

  • JMeter

  • Programming

  • Python

  • Java

  • JavaScript/TypeScript

  • Cloud & DevOps

  • Azure / AWS / GCP

  • GitHub Actions

  • Azure DevOps

  • Jenkins

  • CI/CD Pipelines

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