AI Engineer II

AvidXchange develops accounts payable automation software and payment solutions. The AI Engineer II implements machine learning and deep learning solutions for business problems, contributing to the design, development, testing, delivery, and maintenance of AI-enabled software.

Responsibilities:

• Design and develop non traditional data models geared towards predictive modeling or solving complex representational and interpretation needs
• Utilize statistical or mathematical methods to conduct exploratory data analysis and build evidence in support of solution approaches
• Utilize where necessary existing machine learning libraries and frameworks
• Keep abreast of developments in the field of Artificial Intelligence
• Focus on enhancing or extending traditional application models with intelligent systems design
• Guarantee the quality and state of the ML Software Delivery (model lifecycle) and guide the team to improve it
• Build open communication with your Product Owner, Quality Test Automation Engineers, fellow Software Engineers, Development DBA and Scrum Master to understand and transform business requirements into business-savvy features
• Solve problems, debug and optimize code to ensure optimum performance and security
• *Implement optimal architecture, efficiency, maintainability, and scalability parameters in cooperation with developers and architects
• Team up with QA to review, approve and design test cases- ensuring the customers' expectations are fulfilled
• Manage code quality and ensure appropriate unit test coverage
• Create code that follows documented standards and best practices
• Mentor other junior Engineers

Requirements:

• Bachelor's degree in Computer Science, Computer Engineering or related field required and 5+ years of software development experience OR a Master's degree in Computer Science, Computer Engineering or related and 3+ years of software development experience with multi-tiered systems
• Great knowledge of C#, R, Python
• Experience with Statistical Learning methods
• Experience with Artificial Intelligence concepts and system design
• Good knowledge of exercising sound coding practices, such as unit testing, object-oriented programming, design patterns, and SOLID principles
• Thorough knowledge of handling code versions via source control systems (such as Git) in continuous integration environments
• Hands-on experience following Agile software development processes (Scrum/Kanban)
• Employing secure coding practices including familiarity with OWASP top ten
• Applicants must be currently authorized to work in the United States on a full-time basis
• Plus one for experience in any of the following technologies: Hadoop, Spark, or DataBricks, Deedle Exploratory Library for .Net, F# Data Toolbox, XPLot
• Plus two for experience enhancing or extending traditional application models through intelligent systems design and the application of artificial intelligence via one or more of its sub disciplines: Computer Vision, Natural Language Understanding, Autonomous and Robotic Systems, Machine Learning, Deep Learning and Reinforcement Learning
• Plus three for experience in any one of the following disciplines: Systems Engineering, Feedback Control Systems or Model Based Software Engineering