Our client is a leading, innovation, driven organization, pioneering advanced AI capabilities across their ecosystem. They are searching for a Data Scientist – Generative AI to drive end-to end AI initiatives, from LLM development and RAG frameworks to scalable deployment and data pipeline engineering. This isn’t support work, it’s transformation at enterprise level.
 
Key Responsibilities:
 

•  Design, develop, and optimize Generative AI models for operational and analytical use
• Build and fine-tune RAG frameworks using tools like LangChain, LlamaIndex, and other LLM platforms
• Engineer scalable data pipelines and perform ETL to support AI model training and deployment
• Collaborate with data and DevOps teams to deploy AI solutions in production environments
• Integrate data from multiple sources and ensure robust data warehousing and accessibility
• Drive performance, scalability, and cost efficiency for AI models in cloud and on-prem settings
• Communicate complex AI concepts to non-technical stakeholders and align work to business goals
• Continuously research, experiment, and stay ahead of GenAI trends and architectures
• Job Experience and Skills Required:
• -3+ years in AI/ML, with at least 1–2 years focused on Generative AI
• Strong background in data engineering, ETL processes, and pipeline development
• Hands-on experience with TensorFlow, PyTorch, and GenAI frameworks
• Proficiency in Python, SQL, Pandas, and NumPy
• Experience with cloud platforms (AWS, GCP, Azure) and container tools (Docker, Kubernetes)
• Knowledge of MLOps practices, including model versioning, monitoring, and retraining
• Familiarity with big data and storage tools like Spark, Hadoop, and vector databases
• Excellent communication, teamwork, innovation mindset, and analytical problem-solving
• Bachelor’s degree in Computer Science, Data Science, ML, or a related field (Master’s/PhD advantageous)

 
Preferred Certifications:
 
– AWS Certified Machine Learning / AI Practitioner
– GCP ML Engineer or Cloud Engineer
– Microsoft Azure AI Engineer / Data Science
 
Apply now!
For more exciting AI, Data Science, and Analytics opportunities, visit:
www.********.co.za
 
I also recruit across:
 
– AI & Machine Learning
– Data Engineering
– Actuarial & Analytics
– Product & Model Development
– Pricing & Valuations
– Risk & Automation
 
If you haven’t heard back in two weeks, please consider your application unsuccessful. Your profile will be retained for future opportunities.
 
For more information, contact:
Kholo Mongalo
Recruitment Researcher in Actuarial & Analytics
Connect with me on LinkedIn: www.********.co.za