Job Description
As an ML Solutions Architect, you'll be the technical bridge between clients and delivery teams. You'll lead pre-sales technical discussions, design ML architectures that solve business problems, and ensure solutions are feasible, scalable, and aligned with client needs. This is a highly client-facing role requiring both deep technical expertise and strong communication skills.
In the era of Generative AI and autonomous systems, you'll also be responsible for architecting agentic solutions that leverage LLMs, tool ecosystems, and AI-assisted workflows to deliver transformative value to clients.
Core Responsibilities
Pre-Sales and Solution Design (45%)
- Lead technical discovery sessions with prospective clients;
- Understand client business problems and translate them into ML solutions;
- Design end-to-end ML architectures and technical proposals;
- Create compelling technical presentations and demons...