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About the Role
Responsibilities
- Architect and lead the development of scalable ML platforms that support autonomous, goal-driven AI agents.
- Design systems supporting the full ML lifecycle, including agentic decision-making, task orchestration, and automated goal execution.
- Build frameworks for integrating models with product logic, business objectives, and operational workflows.
- Lead the development of pipelines for experimentation, productionization, and continuous agentic learning.
- Design infrastructure supporting large-scale training, inference, and multi‑agent coordination workloads.
- Strengthen observability and monitoring across pipelines, AI agents, and goal‑driven behavior execution.
- Mentor engineers to build expertise in agentic systems, AI‑driven product logic, and autonomous workflows.
- Extensive hands‑on experience building production ML systems integrated with product goals and busin...
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