Job Description
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
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