- 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.
📌 1 - Project Lead (India)
🏢 KG Information Systems
📍 India
Reply to this offer
Impress this employer describing Your skills and abilities, fill out the form below and leave Your personal touch in the presentation letter.