Machine Learning Engineer (Security)

Title : Machine Learning Engineer (Security)Location : Vienna, VA (HYBRID)Duration : Inital 6 months plus extensionsCompensation : $70.

00 - $79.00 / hr Work Requirements : USC, GC or Authorized to work in USMachine Learning Engineer (Security)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 a cross-functional team of data engineers, data scientists, and data visualization to deliver projects.

Research and evaluate emerging technologies. Develop data science solutions based on tools and cloud computing infrastructure.

Perform other duties as assigned.Qualifications : Bachelor’s degree in computer science, mathematics, physics, statistics, or related field.

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.

Advanced skills with Python, Jupyter Notebook / Jupyter Lab, Visual Studio Code and other languages appropriate for large data analysis.

Experience with cloud computing infrastructure. Advanced SQL skills. Experience with data visualization concepts and tools.

Ability to convey complex business problems to technical solutions. 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 : Advanced degree in in computer science, mathematics, physics, statistics, or related field. Experience with Natural Language Processing.

Experience with deep learning framework and infrastructure like TensorFlow or PyTorch. Experience and / or willing to learn techniques in Large Language Models (LLMs) and Generative AI.

A.I. Model Optimization on GPU architecture. Leveraging C++, CUDA. Experience and / or willing to research, develop, implement, and fine-tuning LLMs in terms of specific domains knowledge and user cases.

Knowledge of Machine Learning Ops and CI / CD tools for automation of build, test, and deploy models in production environments.

Our benefits package includes : Comprehensive medical benefits Competitive pay, 401(k) Retirement plan and much more!About INSPYR Solutions : Technology is our focus and quality is our commitment.

As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients’ business objectives and cultural needs.

Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions.

By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities.

Learn more about us at inspyrsolutions.com. INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics.

In addition to federal law requirements, INSPYR Solutions complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities.