Principal Technical Risk Analyst - AI Technical Lead

Job Title

Responsible for assessing and managing technical risks across the organization's environments.

Responsibilities

Build and enhance machine learning models through all phases of development including design, training, validation, and implementation.

Partner with cross-functional teams of data engineers, data scientists, and data visualization to deliver projects.

Assist with leading complex projects to ensure alignment with business needs.

Unlock insights by analyzing large scale of complex numerical and textual data and identifying trends.

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 leading complex projects by translating conceptual business strategies into technical requirements and mentoring junior team members with actionable guidance.

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

Experience with managing cross-functional projects and programs.

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 Microsoft Azure services.

A.I. Model Optimization on GPU architecture. Leveraging C++, CUDA.

Experience with Advance Reinforcement Learning Paradigms.

Experience with Speech Recognition.

Additional Information

Hours: Monday - Friday, 8:00AM - 4:30PM

Location: 820 Follin Lane, Vienna, VA 22180