Software Engineer: Machine Learning

Company Description

Quick & Pure Ice Systems manufactures advanced ice machines that deliver fresh-sealed bags of ice within seconds through a stand-alone, automated process. This innovation helps retailers save time and reduce costs by eliminating the need for sales clerks and minimizing inventory losses. The company prioritizes enhancing the customer experience with a secure, self-serve solution. Designed for retail outlets, these systems operate 24/7, providing a labor-free approach to selling packaged ice while saving valuable store space. Quick & Pure Ice Systems takes pride in its commitment to quality and "Made in the USA" products.

Role Description

This is a full-time, on-site role located in Phoenix, AZ, for a Software Engineer specializing in Machine Learning and Business Automation. The selected candidate will design, develop, and implement software solutions to support machine learning and automation in Quick & Pure Ice Systems' products and services. Responsibilities include programming back-end systems, optimizing software for performance, and collaborating with cross-functional teams to deliver innovative solutions both product development and in house visibility. The role requires strong technical skills, a problem-solving mindset, and the ability to manage multiple projects in a fast-paced environment.

Qualifications

• Proficiency in Computer Science fundamentals, including algorithms and data structures
• Experience in Back-End Web Development, Software Development, and related tools
• Strong capabilities in Programming, including expertise in Object-Oriented Programming (OOP)
• Knowledge of machine learning concepts and a keen interest in business automation
• Excellent problem-solving skills and the ability to work collaboratively in a team environment
• Bachelor's degree in Computer Science, Software Engineering, or a related field
• Prior experience in automation or manufacturing systems is a plus