Job Description
Company Description:
Impact QA is a global software testing and product development company offering next-gen QA solutions backed by industry-agnostic capabilities. Trusted by Fortune 500 companies, we provide cutting-edge QA and testing services, including CTRM solutions, to help global enterprises stay ahead of the curve.
At Impact QA, our strength is in efficiently delivering leading-edge software testing services and support to customers, and we’re proud to set the standard for success in our industry.
Role Overview:
An AI Tester is responsible for validating the quality, reliability, performance, and ethical behavior of AI/ML systems. This role focuses on testing data pipelines, models, integrations, and AI-driven features to ensure accuracy, robustness, fairness, security, and compliance before production release.
Position: AI/ML Engineer
Experience: 3–5 Years
Location: Noida (WFO)
Job Type: Full Time
Key Responsibilities:
- Design and execute test strategies for AI/ML models, data pipelines, and AI-enabled applications
- Validate data quality, data drift, feature integrity, and training/validation datasets
- Test model accuracy, precision, recall, bias, fairness, and explainability
- Perform functional, integration, regression, and non-functional testing for AI systems
- Automate AI testing using Python, test frameworks, and MLOps pipelines
- Monitor model performance post-deployment and identify degradation or drift
- Validate AI outputs against business rules and real-world scenarios
- Collaborate with data scientists, ML engineers, and product teams
- Ensure compliance with AI governance, privacy, and regulatory standards
- Document test cases, test results, risks, and quality metrics
Required Skills & Qualifications:
- Strong understanding of Software Testing and QA processes
- Knowledge of Machine Learning concepts (supervised/unsupervised learning, NLP, CV basics)
- Experience with Python and data analysis libraries (Pandas, Num Py, Scikit-learn)
- Familiarity with AI testing techniques: bias testing, adversarial testing, model validation
- Experience with automation tools and CI/CD pipelines
- Understanding of data validation, data drift, and model monitoring
- Knowledge of API testing and cloud platforms (AWS, Azure, GCP) is a plus
- Strong analytical, problem-solving, and communication skills
Preferred Experience:
- Experience with MLOps tools
- Exposure to Responsible AI, explainability tools, and ethical AI practices
- Experience testing Gen AI systems (LLMs, chatbots, prompt validation, hallucination checks).
IMPACTQA IS COMMITTED TO EQUALITY
Impact QA is proud to be an equal opportunity and affirmative action employer. We do not discriminate based on race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other characteristic legally protected by the laws of the jurisdiction in which you are being considered for hire.
Impact QA is a global software testing and product development company offering next-gen QA solutions backed by industry-agnostic capabilities. Trusted by Fortune 500 companies, we provide cutting-edge QA and testing services, including CTRM solutions, to help global enterprises stay ahead of the curve.
At Impact QA, our strength is in efficiently delivering leading-edge software testing services and support to customers, and we’re proud to set the standard for success in our industry.
Role Overview:
An AI Tester is responsible for validating the quality, reliability, performance, and ethical behavior of AI/ML systems. This role focuses on testing data pipelines, models, integrations, and AI-driven features to ensure accuracy, robustness, fairness, security, and compliance before production release.
Position: AI/ML Engineer
Experience: 3–5 Years
Location: Noida (WFO)
Job Type: Full Time
Key Responsibilities:
- Design and execute test strategies for AI/ML models, data pipelines, and AI-enabled applications
- Validate data quality, data drift, feature integrity, and training/validation datasets
- Test model accuracy, precision, recall, bias, fairness, and explainability
- Perform functional, integration, regression, and non-functional testing for AI systems
- Automate AI testing using Python, test frameworks, and MLOps pipelines
- Monitor model performance post-deployment and identify degradation or drift
- Validate AI outputs against business rules and real-world scenarios
- Collaborate with data scientists, ML engineers, and product teams
- Ensure compliance with AI governance, privacy, and regulatory standards
- Document test cases, test results, risks, and quality metrics
Required Skills & Qualifications:
- Strong understanding of Software Testing and QA processes
- Knowledge of Machine Learning concepts (supervised/unsupervised learning, NLP, CV basics)
- Experience with Python and data analysis libraries (Pandas, Num Py, Scikit-learn)
- Familiarity with AI testing techniques: bias testing, adversarial testing, model validation
- Experience with automation tools and CI/CD pipelines
- Understanding of data validation, data drift, and model monitoring
- Knowledge of API testing and cloud platforms (AWS, Azure, GCP) is a plus
- Strong analytical, problem-solving, and communication skills
Preferred Experience:
- Experience with MLOps tools
- Exposure to Responsible AI, explainability tools, and ethical AI practices
- Experience testing Gen AI systems (LLMs, chatbots, prompt validation, hallucination checks).
IMPACTQA IS COMMITTED TO EQUALITY
Impact QA is proud to be an equal opportunity and affirmative action employer. We do not discriminate based on race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other characteristic legally protected by the laws of the jurisdiction in which you are being considered for hire.
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