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aws gcp computer vision machine learning mlops📋 Description
- Lead technical discovery sessions with clients.
- Translate business problems into ML solutions.
- Design end-to-end ML architectures and proposals.
- Present solutions to both technical and non-technical audiences.
- Manage client expectations and ensure satisfaction.
- Collaborate with delivery teams; mentor engineers.
🎯 Requirements
- Architect end-to-end ML systems for diverse problems.
- Deep ML lifecycle knowledge: data to deployment.
- Experience across ML domains: RAG, CV, Time Series, Recs.
- LLM-based application architecture expertise.
- MLOps and production ML infrastructure knowledge.
- AWS and GCP ML services; multi-cloud awareness.
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