See what you can do with Prophix At Prophix, we’re building the platform that helps finance teams stop managing spreadsheets and start driving strategy. Prophix One brings planning, reporting, consolidation, and automation together in a single
Our Customer is one of the worlds largest investment management companies. Based in Southern California, our client manages close to $2 trillion in assets and is looking for a new partner to participate in a full
Our Customer is one of the worlds largest investment management companies. Based in Southern California, our client manages close to $2 trillion in assets and is looking for a new partner to participate in a full
Role Summary – Data Fabric Consultant / Subject Matter Expert (SME) BrickRed Systems is seeking a highly experienced Data Fabric Consultant / SME to lead enterprise data modernization initiatives. This role will serve as a strategic
Job Title: Data Science Intern (Remote – Canada Time Zone) About the Role We are hiring on behalf of our client for a highly motivated Data Science Intern to join a dynamic, solutions-driven data science team.
What You’ll Do Lead and coordinate threat detection & incident response efforts , including maintaining and refining security playbooks and response processes . Claude Code and AI-native workflows are a core expectation for this role. Develop
Job Title: Data Engineering Intern (Remote – Canada Client) Location: Remote Duration: 3–6 Months Internship Working Hours: Flexible (Must be available for overlap with Australian business hours when required) Stipend: As per company standards Client Location:
Project description We are looking for an experienced AI Engineer to design and deliver scalable Gen AI solutions. The role involves building production-ready AI products using Python, React, and AWS, while leveraging modern architectures such as LLM pipelines,
Title - Applied Scientist Type - Fulltime Location - Remote Role Overview: We are hiring Applied Scientists (1 Lead + 2 ICs) to design, build, and optimise GenAI-driven multi-modal pipelines for detecting contextual moments in live