Data Scientist

1 week ago

Cape Town, Western Cape, South Africa RAY AI Full time R1 000 000 - R3 000 000 per year

A Message from Our CEO:

We are seeking a highly skilled Data Scientist with deep expertise in modern AI/ML systems, including LLMs, multimodal models, fine-tuning techniques, and advanced retrieval architectures. In this role, you will design, prototype, and deploy AI-powered solutions that leverage state-of-the-art language, vision, and agentic frameworks. You will work closely with engineering, product, and research teams across the US and Europe to bring cutting-edge AI capabilities into production environments.

Your Responsibilities:

    • Design, build, and optimize LLM-powered systems using OpenAI, Anthropic, and open-source/local model families.
    • Architect and implement RAG pipelines, including hybrid search, query rewriting, prompt optimization, and reranking strategies.
    • Develop and maintain vector database infrastructures (Pinecone, Weaviate, Qdrant) for large-scale embedding storage and fast retrieval.
    • Train, evaluate, and retrain embedding models for domain-specific semantic search and knowledge retrieval.
    • Build and integrate multimodal AI solutions using OCR, CLIP, and modern vision architectures for text-image understanding.
    • Apply fine-tuning techniques (LoRA/QLoRA) to adapt foundation models to organizational datasets and specialized tasks.
    • Develop production-ready AI applications using Python, PyTorch, and modern orchestration frameworks.
    • Implement LLM orchestration with LangChain or LlamaIndex, including evaluators, tool abstractions, memory, and RAG components.
    • Establish robust evaluation frameworks to measure model performance, reduce hallucination, and ensure reliability in production.
    • Build agentic workflows using AutoGen, CrewAI, or similar frameworks to power automation and multi-agent collaboration systems.
    • Stay current with research trends and apply theoretical and practical insights in Generative AI to drive innovation across the organization.

What we look for:

    • Experience in applied machine learning or data science, with at least 2 years focused specifically on LLMs or Generative AI.
    • Demonstrated experience building end-to-end RAG, fine-tuning, or multimodal AI systems.
    • Strong proficiency in Python, PyTorch, and AI tooling ecosystems.
    • Experience deploying models at scale in production environments.
    • Strong understanding of evaluation metrics, model reliability, and safety/reduction of hallucination.
    • Familiarity with vector embeddings, vector databases, and semantic search.
    • Experience with agent frameworks such as AutoGen, CrewAI, or LangGraph-like toolkits.
    • Experience with distributed training, model optimization, quantization, or GPU acceleration.
    • Knowledge of DevOps/MLOps tooling for deploying LLM-based systems.
    • Contributions to open-source LLM or RAG projects.

What we offer:

  • Competitive salary and performance-based bonuses.
  • Fully remote, flexible work environment.
  • Modern laptop and hardware provided by us.
  • Specialized training in AI, automation, and digital productivity tools.
  • Global exposure—collaborate with top-tier founders and fast-growing startups.
  • Continuous learning and career growth opportunities in an international environment.

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