Job Description
Key Responsibilities:
- Design and optimize Generative AI models using LLM frameworks to deliver scalable, high-performance solutions.
- Develop and maintain robust data pipelines — ensuring structured and unstructured data is clean, accessible, and ready for modelling.
- Collaborate across teams (Data, DevOps, Product) to align AI solutions with real-world business objectives.
- Deploy and monitor AI models in production environments with a focus on reliability and cost efficiency.
Job Experience and Skills Required:
- Bachelor’s degree in Computer Science, Data Science, or related field (Master’s or PhD a plus).
- 3+ years in AI, with at least 1–2 years in Generative AI.
- Proven background in data engineering, pipeline design, and ETL development.
- Experience with deep learning frameworks (TensorFlow, PyTorch) and cloud platforms (AWS, GCP, Azure).
- Proficiency in Python, SQL, and data libraries (Pandas, NumPy).
- Solid understanding of machine learning algorithms, neural networks, and MLOps.
- Familiarity with Docker, Kubernetes, and vector databases.
- Strong communication and collaboration skills – you can translate AI talk into business value.
- AWS Certified AI Practitioner / Machine Learning
- GCP ML Engineer / Cloud Engineer
- Microsoft Azure AI Engineer / Data Scientist
Apply now!
For more exciting Finance vacancies, please visit: www.********.co.za
I also specialise in recruiting in the following:
- Actuarial
- Product Development
- Pricing
- Valuations
- Credit Risk
- Market Risk
If you have not had any response in two weeks, please consider the vacancy application unsuccessful. Your profile will be kept on our database for any other suitable roles / positions.
For more information, contact:
Chanél Lubbe
Specialist Recruitment Consultant in Actuarial & Analytics
Connect with me on LinkedIn! www.********.co.za;l-lubbe-a75915130/
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