Data Scientist (AI Specialist)

Network Recruitment; Johannesburg; On-site; ZAR 600,000 - 900,000; Full time

Job summary

A leading recruitment agency seeks a Data Scientist specializing in Generative AI in Johannesburg. You will design and optimize AI models, build frameworks, and engineer data pipelines. Candidates should have 3+ years in AI/ML, experience with TensorFlow and cloud platforms, and a strong educational background. Apply now to join a visionary team driving AI transformation.

Qualifications

• 3+ years in AI/ML, with 1–2 years focused on Generative AI.
• Hands-on experience with TensorFlow and PyTorch.
• Knowledge of MLOps practices.

Responsibilities

• Design and optimize Generative AI models.
• Build RAG frameworks using tools like LangChain.
• Engineer scalable data pipelines for model training.

Skills

AI/ML experience

Data engineering

Python

ETL processes

Cloud platforms

Communication skills

Education

Bachelor's degree in Computer Science, Data Science, ML

Tools

TensorFlow

PyTorch

SQL

Pandas

NumPy

Docker

Kubernetes

Job description

Overview

Are you ready to shape the future of Generative AI?

This is your opportunity to join a visionary team where your mastery in AI, data engineering, and machine learning isn’t just valued, it’s mission-critical. If you’re passionate about building and deploying GenAI solutions that redefine how businesses operate, this role was built for you.

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

Qualifications

• 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

Apply now!

For more exciting AI, Data Science, and Analytics opportunities, visit: https://www.networkrecruitmentinternational.com/finance-jobs

Other opportunities

• 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: https://www.linkedin.com/in/kholo-v-mongalo-233541131/