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)