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Job Description

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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