Lead pre-sales discussions, design end-to-end ML architectures, and prepare technical proposals
Translate client problems into ML solutions and present to technical and non-technical audiences
Estimate project scope, timelines, cost, and resource requirements; support business development
Act as primary technical lead for clients and manage stakeholder expectations
Collaborate with delivery teams to ensure smooth handoff and provide technical guidance
Share learnings and develop reusable solution patterns

🎯 Requirements

Solution Design: architect end-to-end ML systems for diverse business problems
ML Lifecycle: full ML lifecycle from data to deployment
System Design: scalable, production-grade ML architectures
Trade-off Analysis: evaluate cost, performance, and complexity
ML Breadth: experience across domains (RAG, CV, Time Series, Recommendation)
MLOps: knowledge of production ML infrastructure and DevOps practices

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