Overview 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.
Responsibilities - Build and enhance machine learning models through all phases of development including design, training, validation, and implementation etc.
- Unlock insights by analyzing large scale of complex numerical and textual data and identifying trends.
- Partner with cross-functional teams of data engineers, data scientists, and data visualization to deliver projects.
- Research and evaluate emerging technologies.
- Develop advanced A.I. solutions based on tools and cloud computing infrastructure.
- Perform other duties as assigned.
Qualifications - 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.
Hours: Monday - Friday, 8:00AM - 4:30PM
Location: 820 Follin Lane, Vienna, VA 22180
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Equal Employment Opportunity: All qualified applicants will receive consideration for employment without regard to age, race, sex, color, religion, national origin, disability, veteran status, pregnancy, sexual orientation, genetic information, gender identity or any other basis protected by applicable law.
Accommodations: If you need accommodation or assistance for a qualifying condition to complete the online application (or during any stage of the hiring process), you can contact Navy Federal's Medical Accommodations team at or by calling 1-. This team cannot provide any information on job postings or application status.
Disclaimers: Navy Federal reserves the right to fill this role at a higher/lower grade level based on business need. An assessment may be required to compete for this position. Job postings are subject to close early or extend out longer than the anticipated closing date at the hiring team's discretion based on qualified applicant volume. Navy Federal Credit Union assesses market data to establish salary ranges that enable us to remain competitive. You are paid within the salary range, based on your experience, location and market position. For additional details regarding compensation and benefits, review the Benefits page of the Navy Federal Career Site.
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