Senior -QTB

Roles and Responsibilities

• 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 Python and ML frameworks such as TensorFlow, PySpark and PyTorch. Knowledge in AutoML tools which are used for automating the machine learning pipeline and Auto Kubernetes for managing containerized applications.

• Experience is writing validation reports as per MRM practices.