AI Tester / AI Quality Assurance Engineer

As a Test Engineer for AI/ML models and applications, your role will involve designing and executing test strategies to ensure the quality and reliability of AI systems. Your key responsibilities will include:

• Designing and executing test strategies for AI/ML models, data pipelines, and AI-enabled applications
• Validating data quality, data drift, feature integrity, and training/validation datasets
• Testing model accuracy, precision, recall, bias, fairness, and explainability
• Performing functional, integration, regression, and non-functional testing for AI systems
• Automating AI testing using Python, test frameworks, and MLOps pipelines
• Monitoring model performance post-deployment and identifying degradation or drift
• Validating AI outputs against business rules and real-world scenarios
• Collaborating with data scientists, ML engineers, and product teams
• Ensuring compliance with AI governance, privacy, and regulatory standards
• Documenting test cases, test results, risks, and quality metrics

To excel in this role, you should have the following skills and 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, NumPy, 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 includes:

• Experience with MLOps tools
• Exposure to Responsible AI, explainability tools, and ethical AI practices
• Experience testing GenAI systems (LLMs, chatbots, prompt validation, hallucination checks)

This is a great opportunity for individuals with a background in B.E/B.Tech., M.C.A., or Graduate (IITs/NITs and BITS graduates preferred) to contribute to cutting-edge AI technology. If you are passionate about testing AI/ML models and applications, we encourage you to apply now. As a Test Engineer for AI/ML models and applications, your role will involve designing and executing test strategies to ensure the quality and reliability of AI systems. Your key responsibilities will include:

• Designing and executing test strategies for AI/ML models, data pipelines, and AI-enabled applications
• Validating data quality, data drift, feature integrity, and training/validation datasets
• Testing model accuracy, precision, recall, bias, fairness, and explainability
• Performing functional, integration, regression, and non-functional testing for AI systems
• Automating AI testing using Python, test frameworks, and MLOps pipelines
• Monitoring model performance post-deployment and identifying degradation or drift
• Validating AI outputs against business rules and real-world scenarios
• Collaborating with data scientists, ML engineers, and product teams
• Ensuring compliance with AI governance, privacy, and regulatory standards
• Documenting test cases, test results, risks, and quality metrics

To excel in this role, you should have the following skills and 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, NumPy, 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 includes:

• Experience with MLOps tools
• Exposure to Responsible AI, explainability tools, and ethical AI practices
• Experience testing GenAI systems (LLMs, chatbots, prompt validation, hallucination checks)

This is a great opportunity for individuals with a background in B.E/B.Tech., M.C.A., or Graduate (IITs/NITs and BITS graduates preferred) to contribute to cutting-edge AI technology. If you are passionate about testing AI/ML models and applications, we encourage you to apply now.