Senior Computer Scientist

Responsibilities

• Serve as internal resource on structured programming techniques for software systems.
• Lead program design reviews with customer.
• Responsible from the initial concept to design, coding, and testing to meet specifications.
• Analyze algorithms and requirements for computational resources and architecture required.
• Lead a team to develop software systems, including the design, implementation and deployment of device drivers, kernel enhancements, and other essential system-level software.
• Lead a team to perform analysis, design, software development, and maintenance tasks for highly complex systems.
• Coach less experienced computer scientists and ensure adherence to design and coding standards and practices.
• Mentor and lead less experienced team members.
• Lead the development, test, and integration of code for new or existing software of significant complexity involving multiple teams.
• Remain abreast of all applicable technical advancements.
• Apply and adapt theoretical principles to develop new computer software and/or hardware solutions.
• Develop approaches to solve analytical problems and document methodologies

Requirements

• US Citizenship.
• Ability to obtain and maintain a DoD Security Clearance.
• An undergraduate degree in computer science and 9 years of directly related experience; a Master’s degree in same and 8 years of directly related experience; or a Ph.D. degree in same and 3 years of directly related experience.
• 3 years of technical lead responsibility.
• Ability to obtain certification in accordance with DoD 8140 series requirements.
• Proficient using Python, Java, JavaScript, J-Query, C#, and Dot.NET frameworks including MVC, Web Forms, and/or Dot.NET core.
• Proficient in secure coding practices.
• Proficient in database design principles and Structured Query Language (SQL).
• Proficient in agile framework and software development life cycle.
• Proficient in the developing testing strategies for components and/or applications.

Qualifications

• Desired Qualifications:
• Proficient in TensorFlow, PyTorch, or similar libraries.
• Experience building, fine tuning, and deploying advanced models (e.g., LLMs, computer vision, recommendation systems).
• Designing scalable AI pipelines, integrating data ingestion, model training, and production deployment.
• Familiarity with CI/CD for models and model versioning.
• Skilled in feature engineering, handling large datasets, and applying vector databases for semantic search.
• Ability to interpret state of the art AI research and implement findings in production systems.
• Strong communication skills to work with cross functional teams and mentor junior engineers in AI practices.
• Knowledge of data manipulation, cleaning and analysis.
• Knowledge of Oracle/SQL Server.
• Experience with MLOps and tools like Docker and Kubernetes for productionizing models.
• Familiarity with AWS, Google Cloud, or Azure for deploying, scaling and managing AI models.