GaP Solutions
SaaS • Retail • Hardware
GaP Solutions is an Australian provider of integrated retail technology and equipment. The company develops and delivers cloud-native EM Cloud™ back-office and EM POS™ point-of-sale software alongside POS hardware (printers, servers, terminals), weighing and labelling systems, and commercial food and bakery equipment. GaP Solutions specialises in retail-focused solutions for grocery, bakery, butchery, liquor, fuel/forecourt and convenience retailers, offering machine-learning-enhanced inventory and date-check management, self-checkout, integration/APIs, installation, certification and 24/7 support. They sell and support these products directly to retail businesses (B2B) and emphasise in-house development and service.
Scientific Application Developer
Job not on LinkedIn
October 24
GaP Solutions
SaaS • Retail • Hardware
GaP Solutions is an Australian provider of integrated retail technology and equipment. The company develops and delivers cloud-native EM Cloud™ back-office and EM POS™ point-of-sale software alongside POS hardware (printers, servers, terminals), weighing and labelling systems, and commercial food and bakery equipment. GaP Solutions specialises in retail-focused solutions for grocery, bakery, butchery, liquor, fuel/forecourt and convenience retailers, offering machine-learning-enhanced inventory and date-check management, self-checkout, integration/APIs, installation, certification and 24/7 support. They sell and support these products directly to retail businesses (B2B) and emphasise in-house development and service.
📋 Description
• Use advanced knowledge in machine learning, statistics, text mining, natural language processing, computational semantics, computer vision, and data science to develop creative solutions to complex real-world problems • Conceive of and create data processing pipelines that allow for the efficient movement, pre-processing and display of data • Provide technical experience reviewing, analyzing, and modifying existing programming systems • Develop scientific applications using R, Shiny and or Python • Test and maintain software products to ensure strong functionality and optimization • Maintain and monitor applications, databases, or software tools • Collaborate with staff to develop database application and tools for supporting bioinformatics and scientific computing research projects • Provide written technical descriptions of implemented algorithms; • Contribute to the publication of the labs software and research.
🎯 Requirements
• Bachelor’s Degree in Computer Programming or Computer Science • CompTIA Networking Certification • Experience with Python, R/Shiny, Groovy, Scikit-learn • Experience with Data Visualization and Software Development
🏖️ Benefits
• None listed
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