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.
AI Visual Artist & Creative Technologist at HYPERMUSE Studio utilizing AI as a creative amplifier. Collaborate with production teams to create high - end visuals and videos.
AI Video Artist at InnoGames generating premium marketing content with AI. Building systems and workflows to streamline collaboration and enhance visual output.
AI Supplier Risk Analytics Intern at EnerSys developing AI - driven business solutions. Hands - on experience with data analytics and machine learning techniques in supply chain risk management.
Associate or Senior Editor managing interdisciplinary research in AI and computational sciences at Springer Nature, focusing on editorial decisions and policy development in open access publishing.
AI Consultant at ADAPTOVATE delivering AI - driven business transformation solutions. Collaborating with clients to implement impactful AI strategies that drive measurable outcomes.
Senior Manager responsible for developing frameworks to measure AI value realization. Collaborating with stakeholders to ensure AI initiatives align with business goals and enhance competitive advantage.
Senior 2D (AI) Artist creating game art using AI tools in London's Games Studio. Collaborating with game designers and artists to produce concept art and mock - ups.
Innovative leader defining vision and execution for next - gen networking silicon and co - packaged optics platforms at Nokia. Focused on AI, service providers, and hyperscalers with high - bandwidth systems.
Associate Manager guiding a team for grading effectiveness and academic integrity through AI insights and audits. Responsible for auditing strategies and performance outcomes in educational environments.