Project Lead

• Architecture & System Design: Evaluate and select appropriate AI infrastructure, including LLM orchestration frameworks, vector databases, and cloud compute options.
• Technical Sprint Leadership: Lead Agile/Scrum ceremonies for cross-functional teams of data scientists, MLOps, and software engineers.
• Code & Pipeline Guardrails: Establish best practices for code quality, model version control, and continuous integration/continuous deployment (CI/CD) pipelines.
• Resource Optimization: Monitor and optimize compute resource utilization, API latency, token usage, and inference costs.
• Risk & Performance Auditing: Evaluate model drift, bias, and technical debt while implementing robust validation and monitoring systems.

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