Synthetic Data Methodology : Design physics-constrained generative model approaches (diffusion models, VAEs) for synthetic data generation. Deliver validated methodology and training recipes for pipeline operationalization.
Data security and governance: Handle client data in line with the firm's data security, client-data confidentiality and responsible AI requirements, and raise risks or issues promptly.
Produce and sign off the Low-Level Design (LLD): service and API contracts, data models and schemas, agent and tool definitions, model and prompt interfaces, sequence diagrams and error handling.
Domain expert: You’ve scaled AI products in production and design for LLM failure modes such as hallucination, context degradation, prompt injection and latency under load.
Infrastructure & Engineering Excellence: Manage infrastructure and CI/CD pipelines while ensuring scalability, performance, security, and high code quality through best practices and governance.
Leverage data from internal platforms, trading systems, Order Management Systems (OMS), market data providers, and other business applications to develop scalable solutions.