About Digy4 Digy4 is a Canadian enterprise SaaS company modernizing Quality Engineering, AI-driven test generation, enterprise reporting, RCA, performance engineering, and risk-first engineering for Fortune 500/2000 organizations. Job ID - DigyPE0052 Role Overview We are seeking a hands-on Development Lead with strong experience in React, Node.js, NoSQL, AWS services, and AI/GenAI...
About the projects: we are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop; while expanding the dataset coverage to different types of tasks in terms of programming language,...
About the Job We are seeking a highly skilled QA Engineer with expertise in Selenium/Cypress to join our dynamic team. Your role will involve collaborating with cross-functional teams, writing efficient test scripts, performing automation and manual testing, executing automated tests, and identifying and resolving any issues that arise. The ideal candidate will have a strong background in test...
About ZellerAt Zeller, we’re champions for businesses of all sizes, and proud to be a fast-growing Australian scale-up reimagining business banking and payments. We believe in a level playing field, where all businesses benefit from access to smarter payments and financial services solutions that accelerate their cash flow, help them get paid faster, and give them a better understanding of their...
About ZellerAt Zeller, we’re champions for businesses of all sizes, and proud to be a fast-growing Australian scale-up reimagining business banking and payments. We believe in a level playing field, where all businesses benefit from access to smarter payments and financial services solutions that accelerate their cash flow, help them get paid faster, and give them a better understanding of their...
About Digy4 Digy4 is a Canadian enterprise SaaS company modernizing Quality Engineering, AI-driven test generation, enterprise reporting, RCA, performance engineering, and risk-first engineering for Fortune 500/2000 organizations. Job ID - DigyPE0052 Role Overview We are seeking a hands-on Development Lead with strong experience in React, Node.js, NoSQL, AWS services, and AI/GenAI...
About the Job We are seeking a highly skilled QA Engineer with expertise in Selenium/Cypress to join our dynamic team. Your role will involve collaborating with cross-functional teams, writing efficient test scripts, performing automation and manual testing, executing automated tests, and identifying and resolving any issues that arise. The ideal candidate will have a strong background in test...
About the projects: we are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop; while expanding the dataset coverage to different types of tasks in terms of programming language,...
About the projects: we are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop; while expanding the dataset coverage to different types of tasks in terms of programming language,...
About the Job We are seeking a highly skilled QA Engineer with expertise in Selenium/Cypress to join our dynamic team. Your role will involve collaborating with cross-functional teams, writing efficient test scripts, performing automation and manual testing, executing automated tests, and identifying and resolving any issues that arise. The ideal candidate will have a strong background in test...
About ZellerAt Zeller, we’re champions for businesses of all sizes, and proud to be a fast-growing Australian scale-up reimagining business banking and payments. We believe in a level playing field, where all businesses benefit from access to smarter payments and financial services solutions that accelerate their cash flow, help them get paid faster, and give them a better understanding of their...
About the projects: we are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop; while expanding the dataset coverage to different types of tasks in terms of programming language,...
About the projects: we are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop; while expanding the dataset coverage to different types of tasks in terms of programming language,...
About the projects: we are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop; while expanding the dataset coverage to different types of tasks in terms of programming language,...
About the projects: we are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop; while expanding the dataset coverage to different types of tasks in terms of programming language,...
About the projects: we are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop; while expanding the dataset coverage to different types of tasks in terms of programming language,...
About the projects: we are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop; while expanding the dataset coverage to different types of tasks in terms of programming language,...
About the projects: we are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop; while expanding the dataset coverage to different types of tasks in terms of programming language,...
About the projects: we are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop; while expanding the dataset coverage to different types of tasks in terms of programming language,...
About the projects: we are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop; while expanding the dataset coverage to different types of tasks in terms of programming language,...