Number of Positions: 2

Education Qualification: B.E/B.Tech. /M.C.A./Graduate (IITs/NITs and BITS graduates preferred)

Roles & 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, 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

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

Apply Now

AI Tester / AI Quality Assurance Engineer