AI/ML Testing Engineer

**AI Quality Engineer.** We are looking for an AI Quality Engineer who will be responsible for validating cutting\-edge artificial intelligence solutions across various domains, including generative AI, conversational AI, and predictive AI. **Must\-Have Skills:** * Experience in **testing and validating AI/ML solutions** including Generative AI, Conversational AI, and Predictive models * Strong understanding of **how ML models are built end\-to\-end** (data preparation, feature engineering, training, validation, tuning) * Knowledge of **core ML algorithms and model types** (regression, classification, clustering, tree\-based models, neural networks, transformers) * Proficiency in **Python** for AI test automation, data analysis, and model output validation * Hands\-on experience with **pandas, NumPy, and scikit\-learn** for data and model validation * Experience in **data quality analysis, profiling, and feature validation** * Understanding of **model evaluation metrics** and validation of performance results * Ability to **interpret model behavior and explainability outputs** * Experience testing **AI APIs and services** built using **FastAPI or Flask** * Familiarity with **cloud\-based AI deployments** , preferably **AWS SageMaker** * Understanding of **production ML lifecycle** , including deployment validation and monitoring * Strong analytical, problem\-solving, and communication skills for cross\-functional collaboration **Desirable :** * Hands\-on experience testing Generative AI prompts, hallucinations, and response quality * Familiarity with Responsible AI, bias, fairness, and safety validation * Knowledge of MLOps pipelines and CI/CD validation for ML systems Experience with performance, latency, and scalability testing for AI services * Exposure to adversarial testing and edge\-case validation for AI models * Experience testing AI systems in regulated or high\-risk domains