Company Description FLYONIT is a global provider of managed IT, cybersecurity, cloud modernisation, digital transformation, and AI governance services, supporting organisations across Australia, the USA, India, and the UAE. Founded in Australia, the company focuses on
Job Responsibilities Uses SAS or other software to develop custom programming code to generate summary tables, data listings, graphs and derived datasets as specified in the statistical analysis plan and programming specifications. Works to ensure that
At goML, we design and build cutting-edge Generative AI, AI/ML, Data Engineering, and Web3 solutions that help businesses unlock the full potential of emerging technologies, drive intelligent automation, and build secure, scalable digital experiences. Our mission
Position Description: We are looking for a strong Senior Java Backend Engineer to join our engineering team and help build scalable, reliable, high-quality backend systems for our platform. This role is for someone with deep expertise
Responsibilities Own and evolve the enterprise data architecture supporting operational, analytical, and AI workloads Design scalable data platforms for transactional databases, analytical data warehouses/lakehouses, and AI/ML data pipelines Define data models, integration standards, metadata management, and data
In this role, you will collaborate closely with one of our esteemed clients—a globally recognized leader in their industry, distinguished by their commitment to excellence, innovation, and delivering exceptional value. As a trusted IT consulting partner,
Title: QA Automation Engineer - Playwright + AI Location: Remote Experience: 4-8 YOE Joining Timeline: Immediate Ideal Candidate: Strong Playwright + JavaScript/TypeScript + API automation experience, with a genuine interest in using AI to modernize QA
We are hiring a Senior Backend & AI Engineer who pairs strong Python backend engineering with real, hands-on AI experience building LLM-powered products. This is not a traditional backend role with AI bolted on. We want