Technical-Jobs in Südafrika

To lead the development and implementation of AI-based solutions aimed at improving operational efficiency within Control Risks. The Applied AI Scientist will work within the broader Data Engineering team and focus on the use of advanced AI and machine learning techniques to build, analyze, and deploy scalable, enterprise-wide AI solutions

• Implement machine learning and AI models, including LLMs, and integrate them into existing systems using Azure AI Foundry and Power Platform.
• Monitor, maintain, and retrain machine learning and AI models to ensure they remain up-to-date and effective.
• Collaborate with Data Engineering on projects to enrich existing data with AI driven metrics and apply RAG to enable data searching with natural language.
• Apply mathematical and statistical fundamentals to automate manual processes and optimize risk-based solutions and applications.
• Communicate insights to internal/external clients through presentations and demonstrations - delivering both technical and non-technical insights.
• Stay up-to-date with the latest trends and advancements in AI and data analytics.
• Maturity to navigate limitations like data availability, budget, and timelines.
• Participate workshops, presentations, and demonstrations to showcase AI capabilities and benefits. Ability to create polished presentations and explain statistical findings to non-technical users when needed.
• Participate in educating, training and development of more junior team members.

• Preferably 2+ years of experience working with different AI capabilities and showcasing your passion both at work and outside work in the development of highly complex AI models (NLP, LLMs, Deep learning etc).
• 2+ years of experience working within a Data Engineering function, having proficiency in analytical and pipelining tools within platforms such as Microsoft Azure / AWS.
• Technical proficiency in programming languages and frameworks commonly used in NLP and AI (e.g., Python, TensorFlow, PyTorch).
• Familiarity with Microsoft Fabric, Azure ML Studio, and MLOps principles to build scalable workflows for effective ML monitoring systems.
• Excellent communication, problem-solving, and analytical skills with good fluency in English.
• Ability to work collaboratively in a global team environment.
• Good interpersonal skills, possessing the confidence to build relationships with all levels of stakeholders.
• Understanding of Git Version control, CI/CD, Agile development, data security, and governance.
• Bachelor’s degree in AI, Computer Science, Data Science, Statistics, Engineering or a related field.
• Certifications in AI, data analysis, or related areas are a plus.
• Knowledge of low-code development and business automation is advantageous.
• Experience with cloud platforms such as Azure is preferred.
• Experience in development on both Dataverse and other sources like SharePoint.
• Any Power Platform certification will be an advantage.
• Experience in applying RAG solutions for commercial data.

Owns problems, identifies and works with the right people to solve problems quickly within own remit and wider team(s)

Reviews and looks for efficiencies in ways of working; Constantly seeks innovative ways to improve services we offer to our clients.

Shows initiative in work, contributing new solutions or new ways of doing things

Be prepared to make decisions and effective implementation of those decisions

Translates decisions into effective actions and implementation

Acts decisively and make difficult decisions even if unpopular

Delivers on personal objectives to deliver to strategic and department plans – Focuses on delivery, strives to exceed expectations

Shows drive and determination to achieve high standards

Suggests and makes improvements and efficiencies to manage costs and improve margins

Understands need to work within project scope including price

Communicates clearly and concisely using language appropriate to audience

Displays sensitivity to develop constructive relationships with others

Plans and organises workload of own and others, suggests priorities as necessary