Working Student supporting AI adoption at FactFinder, integrating AI into business processes. Collaborating with leaders to transform the company into an AI - native organization.
NU
Hybrid Principal Technical Risk Analyst, AI/ML
Posted 6 hours ago
About the role
- Principal Technical Risk Analyst at Navy Federal assessing technical risks and implementing risk management strategies. Collaborating with teams to develop frameworks for A.I. risk identification and control.
Responsibilities
- Responsible for assessing and managing technical risks across the organization’s environments.
- Works closely with cross-functional teams to identify and analyze emerging technology risks, implement risk management strategies, and maintain compliance with industry standards and regulations.
- Plays a key role in developing frameworks for A.I. risk identification, evaluation, mitigation, and control.
- Responsible for understanding the A.I. technological landscape, implementing model development and deployment.
- Work under minimal supervision and use complete understanding of business needs and objectives to support projects.
- Advanced skill sets and proficiency with Artificial Intelligence and machine learning techniques.
Requirements
- Bachelor's degree or advanced degree in computer science, mathematics, physics, statistics.
- Experience with deep learning framework and infrastructure like TensorFlow or PyTorch.
- Experience and/or willing to learn advanced techniques in Large Language Models (LLMs) and Agentic A.I. framework.
- Experience with Natural Language Processing/Natural Language Understanding.
- Experience and/or willing to research, develop, implement, and fine-tuning LLMs in terms of specific domains knowledge and user cases.
- Strong experience with applying expertise in model design, training, validation, and monitoring.
- Excellent understanding of machine learning, statistical modeling, and algorithms as well as their benefits and drawbacks.
- Experience with cloud computing infrastructure.
- Experience with Computer Vision, image processing and video analytics.
- Ability to work individually, and as part of a team.
- Advanced verbal, written, interpersonal, and presentation skills to communicate clearly and concisely technical and non-technical information to all levels of management.
- **Desired Qualifications**
- A.I. Model Optimization on GPU architecture. Leveraging C++, CUDA.
- Knowledge of Machine Learning Ops and CI/CD tools for automation of build, test, and deploy models in production environments.
- Knowledge on principles of A.I. Safety and Security.
- Experience with Advance Reinforcement Learning Paradigms.
- Experience with Speech Recognition.
- Experience with Microsoft Azure services.
Benefits
- Highly competitive pay
- Generous benefits and perks
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