Job Description & How to Apply Below
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 GenAI 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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