Data Science Specialist

Communicate Recruitment; Wes-Kaap; On-site; ZAR 200,000 - 300,000; Full time

Job summary

A leading tech-driven organisation in South Africa is seeking a Generative AI/Data Science specialist to join their innovation lab. The role involves deep AI model development, building LLM-powered solutions, and collaborating to ensure clean, scalable data pipelines. The ideal candidate has experience in Generative AI, strong proficiency in Python and SQL, and a background in data engineering. This position offers an innovative environment where your models will thrive.

Qualifications

• 3+ years’ experience in AI/ML, with at least 1–2 years specifically in Generative AI.
• Proficiency with Python, SQL, and libraries like Pandas and NumPy.
• Practical experience with LangChain, LlamaIndex, or other LLM ecosystems.
• Strong background in ETL, data engineering, and dimensional modelling.

Responsibilities

• Build and refine LLM-powered solutions emphasizing RAG frameworks.
• Ensure clean, scalable data pipelines and work on ETL processes.
• Deploy AI models into live environments with a focus on performance.

Skills

Generative AI

Python

SQL

Data engineering

ETL processes

Cloud platforms (AWS, Azure, GCP)

Docker

Kubernetes

LangChain

LlamaIndex

Education

Bachelor’s or Master’s in Computer Science, Data Science, Machine Learning

Tools

Pandas

NumPy

Job description

Calling all AI explorers! Join a cutting-edge lab where your GenAI models shape the future.

From LLMs to data pipelines, you’ll help build intelligence that evolves.

A leading tech-driven organisation is seeking a Generative AI/Data Science specialist to join their innovation lab. This role involves deep AI model development and strong data engineering fundamentals. You’ll focus on building and refining LLM-powered solutions, emphasizing RAG (Retrieval Augmented Generation) frameworks using tools like LangChain and LlamaIndex.

You will partner with data engineers to ensure clean, scalable data pipelines, work on ETL processes and dimensional models, and deploy AI models into live environments with performance and scalability in mind. Additionally, you’ll experiment with new GenAI techniques, support MLOps efforts, and communicate findings to both technical and non-technical stakeholders.

Skills & Experience:

• 3+ years’ experience in AI/ML, with at least 1–2 years specifically in Generative AI
• Proficiency with Python, SQL, and libraries like Pandas and NumPy
• Practical experience with LangChain, LlamaIndex, or other LLM ecosystems
• Strong background in ETL, data engineering, and dimensional modelling
• Experience working across cloud platforms (AWS, Azure, or GCP)
• Familiarity with Docker, Kubernetes, and model deployment best practices
• Exposure to vector databases, Spark, or Hadoop is advantageous
• Confident communicator who can translate complex AI concepts into actionable insights

Qualifications:

• Bachelor’s or Master’s in Computer Science, Data Science, Machine Learning, or related fields
• Preferred certifications (not required but advantageous):
• AWS Certified Machine Learning / AI Practitioner
• GCP Professional ML Engineer / Associate Cloud Engineer
• Microsoft Azure AI Engineer / Data Scientist

If you’re ready to join a team where innovation thrives and your AI models will thrive, get in touch for a confidential chat.

Because in this world, it’s not about surviving the data jungle—it’s about engineering the future of intelligence.

Contact Kauthar Marcus at [e-mail] or 021 418 1750, quoting the Ref: CTI005560.

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