frameworks (e.g., TensorFlow, PyTorch), model development and deployment. • Architecting and ... datasets. • Proficient into statistics and model building - NLP, Computer Vision, LLM...
platforms to optimize and accelerate model development processes. Work closely with ... partners in marketing, risk, technology, model governance, fair lending etc. through ...
Model Risk Management (MRM) is part ... Strategy and Oversight Team within Model Risk Management – Inventory & Initiative ... reengineering of MRMS, the Citi Model Risk Management
and maintain automated pipelines for model deployment, ensuring scalability, reliability, and ... implements monitoring mechanisms to track model performance in real-time and ...
and maintain automated pipelines for model deployment, ensuring scalability, reliability, and ... .g., GPT-4), iterate on model architectures, and implement improvements to ...
) for SME & corporate portfolios. Model implementation support in python environment ... new data sources to improve model performance. Identify areas which require ...
project teams, manage permissions, complete model-setup in ACC/BIM360 and ... project coordination workflows, create federated model, condition model data as necessary, lead ...
-Offs (NCOs) forecast execution, from model input to output provision. You ... best practices in both model and non-model dataset creation and consumption ...
. Support in creating 3D product model library for products from different ... . Support in creating 3D product model library for products from different ...
Role and Responsibilities Machine Learning Model Development: Design, develop, and implement ... , or scikit-learn. Large Language Model Integration: Collaborate with architects to ...
the business aims/requirements. Ensure model validators and auditors are provided ... mitigate all the existing / identified model issues across all the Fair ...
solve critical business challenges. Ensure Model Governance: Implement and monitor best ... practices for model governance, accuracy, and reliability in ...
requires extensive understanding of data model management techniques and its application ... complete and consistent traceability data model framework for in scope regulatory ...
efficiency, methods for explaining model decisions where vital, model validation, A/B ... implement methods for efficiently monitoring model efficiency and performance in production...
through feasible study • Analyze and model the business domain to create ... staff and is a role model for rest of team. Effectively ... the Online Privacy Notice. Sourcing Model...
