Machine Learning Engineer (Security)

Brmi - Vienna, VA

Full-time

Vienna, VA

Professional, Scientific, and Technical Services

About the position

BRMi is seeking a Machine Learning Engineer (Security) to build and enhance machine learning models through all phases of development. This role involves analyzing complex data, partnering with cross-functional teams, and researching emerging technologies to develop data science solutions in a hybrid work environment in Vienna, VA.

Responsibilities

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

Requirements

• 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.

Nice-to-haves

• Advanced degree 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.

Benefits

• Equal opportunity employer that values diversity and commitment at all levels.