Applied AI Scientist - Enterprise ML & RAG

Control Risks; Johannesburg; On-site; ZAR 800 000 - 1 000 000; Full time

Job summary

A global risk management consulting firm based in Johannesburg is looking for an Applied AI Scientist to lead the development and implementation of AI-based solutions aimed at improving operational efficiency. The ideal candidate will have over 2 years of experience in AI and machine learning, with a strong background in data engineering and programming. Responsibilities include implementing AI models, collaborating with engineering teams, and communicating insights effectively to clients. This role offers an opportunity to work with cutting-edge AI technology in a dynamic environment.

Qualifications

• 2+ years of experience with AI and machine learning models.
• Proficiency in data engineering tools within Azure or AWS.
• Familiarity with MLOps principles and scalable workflows.

Responsibilities

• Implement machine learning and AI models to enhance operational efficiency.
• Collaborate with Data Engineering on enriching existing datasets.
• Communicate insights effectively to various stakeholders.

Skills

Machine Learning

AI Models

Natural Language Processing (NLP)

Data Analysis

Programming (Python)

Deep Learning

Cloud Platforms (Azure)

Education

Bachelor’s degree in AI, Computer Science, Data Science or related field

Tools

Azure AI Foundry

Microsoft Fabric

TensorFlow

PyTorch

Power Platform

Job description

A global risk management consulting firm based in Johannesburg is looking for an Applied AI Scientist to lead the development and implementation of AI-based solutions aimed at improving operational efficiency. The ideal candidate will have over 2 years of experience in AI and machine learning, with a strong background in data engineering and programming. Responsibilities include implementing AI models, collaborating with engineering teams, and communicating insights effectively to clients. This role offers an opportunity to work with cutting-edge AI technology in a dynamic environment.