Posted on: 30/12/2025
Description :
What youll work on :
- Designing and building GenAI / LLM-based systems for wealth advisory use cases (personalised insights, portfolio intelligence, conversational advisory)
- Prompt engineering, RAG pipelines, embeddings, vector databases
- Fine-tuning / adapting LLMs where required
- Building ML models for user behaviour, recommendations, and financial insights
- End-to-end ownership : data exploration ? modelling ? deployment ? monitoring
Expectations :
- Understanding of large language models (LLMs) like LLAMA, Anthropic Claude 3, or Sonnet.
- Familiarity with cloud platforms for data science like AWS Bedrock and GCP Vertex AI
- Strong proficiency in Python and data science libraries (scikit-learn, TensorFlow, PyTorch).
- Solid understanding of statistical methods, machine learning algorithms, and wealth tech applications.
- Experience in data wrangling, visualization, and analysis.
- Collaborative mindset and ability to thrive in a fast-paced startup environment.
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