Skills and attributes for success

- MRM (SR 11-7 experience) / Model Audit / Model governance along with Gen AI / Traditional AI

- Deep understanding of various neural network architectures, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), transformers, and generative adversarial networks (GANs), along with their applications in supervised, unsupervised, and reinforcement learning.

- Proficiency in the development / validation of state-of-the-art generative AI models, including RAG structures, as well as experience with natural language processing (NLP) and large language models (LLMs), with skills in data preprocessing, model training, hyperparameter tuning, and evaluation metrics specific to generative tasks for creative content generation and data synthesis.

- Utilize leading AI platforms like OpenAI, Azure GPT, Google Gemini, LLaMA, or Mistral, with proficiency in at least one platform.





- Conduct comprehensive testing and evaluation of AI models on tasks such as text summarization, content generation, and other NLP applications.

- Experience in performance testing of AI models, including evaluation for hallucinations, toxicity, bias, robustness, adversarial attacks, and cybersecurity vulnerabilities.

- Knowledge of responsible AI practices, ensuring fairness, transparency, and accountability in AI model development and deployment.

- Demonstrate ability to learn and apply recent concepts, specifically in the area of financial risk management.

- Excellent communication and problem-solving skills, with the ability to explain complex AI concepts to non-technical stakeholders.

📌 Senior Consultant - Model Validator - Generative AI (Bengaluru)
🏢 EY
📍 Bengaluru