Senior Software Architect for AI

About the Role

Key Responsibilities

• Develops and communicates descriptive, diagnostic, predictive and prescriptive insights/algorithms of limited scope.
• Uses machine learning and statistical modeling techniques such as decision trees, logistic regression, Bayesian analysis, and others to develop and evaluate algorithms to improve product/system performance, quality, data management, and accuracy.
• Translates algorithms and technical specifications into code using programming languages and technologies.
• Completes programming, implements efficiencies, performs testing and debugging.
• Creates documentation and procedures for installation and maintenance.
• Applies deep learning technologies to enable computers to visualize, learn, and respond to situations of limited scope.
• Leads technical teams and scopes challenging projects into executable sprints.
• Drives code reviews to ensure adherence to DevSecOps and MLOps best practices.
• Interfaces with external vendors and partners to integrate their technology into the team's autonomy stack.
• Maintains the strict confidentiality of sensitive information.
• Performs other duties as assigned.

Requirements

• Typically requires a bachelor's, master's degree or PhD in computer science, engineering, mathematics, or a related technical discipline from an accredited institution.
• Five or more years of experience with a bachelor's degree or three or more years of experience with a master's degree in machine learning engineering.
• Advanced understanding of machine learning concepts, principles, and theory.
• Ability to follow and apply advanced machine learning knowledge, adapt standard techniques, and utilize diagnostics, tools, and equipment while ensuring safety and regulatory compliance.
• Ability to understand new concepts quickly and apply them accurately in an evolving environment.
• Strong communication, computer, and interpersonal skills for effective interfacing, documentation, and presenting results.
• Ability to work both independently and on a team.
• Demonstrated history of applying novel technical solutions in fast-evolving product areas.
• Able to work extended hours as required.
• Ability to obtain and maintain a DoD security clearance.

Qualifications

• A bachelor's, master's degree or PhD in computer science, engineering, mathematics, or a related technical discipline from an accredited institution.
• Progressive machine learning engineering experience as specified.
• Ability to work extended hours as required.
• Ability to obtain and maintain a DoD security clearance.