Senior Solution Architect, Generative AI - CSP
Tasks
- Architect end-to-end generative AI solutions
- Collaborate with customers to define language related use cases
- Coordinate feedback with engineering teams
- Deploy and optimize LLM models for production inference
- Design LLM training deployment and RAG workflows
- Implement strategies for efficient LLM training
- Lead workshops and design sessions for generative AI solutions
- Provide technical leadership for LLM training best practices
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Cloud platform | Cluster architecture | Distributed Computing | Distributed Training | Docker | Fine Tuning | GPU Cluster | GPU Cluster Architecture | Generative AI | Google Cloud | Google Cloud Platform | Inference Optimization | Kubernetes | Language Models | Language Processing | Large Language Models | Megatron-LM | Microsoft Azure | Model Deployment | Model Optimization | Natural Language | Natural Language Processing | Parallel Computing | PyTorch | RAG | Retrieval-Augmented Generation
Education
Roles
AI Engineer | Architect | Engineer | Generative AI Engineer | Solution Architect
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