development involving compatibility and seamless integration with various technologies such as, but not limited ability to learn quickly in various technical and creative environments, while delivering quality work by tight
role is pivotal in leading the advancement and integration of innovative AI solutions within the company's and drive efficiencies across the organization. Working closely with diverse stakeholders, the AI Analyst Large Language Models (LLMs) Proficient in API integration and development Robust understanding of data Skills Required: 5 years work experience in AI, Generative AI, Machine Learning, NLP or relevant domain Speech-to-Text (STT), Large Language Models (LLMs), and integrating APIs Apply now For more Quantitative and Analytics
environment in which the company operates.
custom app development
architectures, aid in seamless data migration, integrate disparate sources into unified data marts, and technology and business goals, ensuring seamless integration, data governance, and efficient data handling Modelling using advanced analytics and machine learning. We cover Credit Risk across retail and corporate demonstrate initiative and organizational skills. Project Work: Experience in handling academic or extracurricular teamwork and strategic thinking. Previous Internship or Work Experience: Prior experience in Consulting, Data
issues such as compensation, employee engagement, learning and development, talent management, leadership objectives are met. The successful candidate will work closely with the legal department that oversees changing environment in which the company operates. Work with hiring managers to maximise the company's reach talent, reward excellent performance and provide learning opportunities to employees. 4. Employee Engagement wellness, and employee assistance programmes are integrated and contributing towards employee satisfaction
identified solution benefits. Work with customers and business teams to integrate their opportunities into cation industry. At least 3 years' experience working in an Agile/SCRUM environment. Experience and knowledge processes, Continuous Integration (CI), and Continuous Delivery (CD). Experience either working in a support environment designing, developing, and supporting large, complex, integrated systems. Behaviours/Attitudes/Expertise: Team this role, we invite you to apply and become an integral part of an innovative team. If you are interested
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for a Lead Automation Engineer Location: Sandton Working Model is Hybrid Required Experience as follows: Tools and Frameworks Non-Functional Testing and integration into DevOps Pipelines Front End and API Automation Continuous Integration (CI) process with Jenkins or Azure Pipelines. Agile methodology and working in agile
demonstrate initiative and organizational skills. Project Work: Experience in handling academic or extracurricular and technology and tooling Previous Internship or Work Experience: Prior experience in consulting, software testing to avoid bugs and issues. Team work: Ability to work effectively in a team, understanding roles for the below areas to advance. Client project – Learning and applying specific methods, tools and techniques Project/Support – Engage internally with IQbusiness and learn how the business functions. Assist and add value