Were looking for a Senior AI Data Scientist to lead the design evaluation and evolution of the Clients agentic systems. This role sits at the intersection of LLMs financial data and decision systems. Youll own how models reason over data how agents coordinate and make decisions and how we rigorously measure quality correctness and risk in production AI workflows.
Requirements
- 6 years experience in data science applied ML or AI-focused software roles
- 3 years building production AI / ML systems with ownership beyond experimentation
- Deep hands-on experience with LLMs agentic patterns and tool-calling systems
- Strong Python skills and comfort working close to production systems and APIs
- Experience with RAG pipelines embeddings and vector databases
- Strong intuition for model behavior trade-offs and failure analysis
Preferred Qualifications:
- Experience applying ML or statistical methods to financial (crypto/DeFi a plus)
- Strong intuition for model behaviour in production and how it shifts with data users and constraints
- Track record of building reusable ML or data abstractions that meaningfully improved team velocity or decision-making
Were looking for a Senior AI Data Scientist to lead the design evaluation and evolution of the Clients agentic systems. This role sits at the intersection of LLMs financial data and decision systems. Youll own how models reason over data how agents coordinate and make decisions and how we rigorously...
Were looking for a Senior AI Data Scientist to lead the design evaluation and evolution of the Clients agentic systems. This role sits at the intersection of LLMs financial data and decision systems. Youll own how models reason over data how agents coordinate and make decisions and how we rigorously measure quality correctness and risk in production AI workflows.
Requirements
- 6 years experience in data science applied ML or AI-focused software roles
- 3 years building production AI / ML systems with ownership beyond experimentation
- Deep hands-on experience with LLMs agentic patterns and tool-calling systems
- Strong Python skills and comfort working close to production systems and APIs
- Experience with RAG pipelines embeddings and vector databases
- Strong intuition for model behavior trade-offs and failure analysis
Preferred Qualifications:
- Experience applying ML or statistical methods to financial (crypto/DeFi a plus)
- Strong intuition for model behaviour in production and how it shifts with data users and constraints
- Track record of building reusable ML or data abstractions that meaningfully improved team velocity or decision-making
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