Deep Learning Solution Architect
Tasks
- Architect end to end LLM solutions
- Collaborate with customers on AI solution requirements
- Collaborate with engineering teams on technical feedback
- Design RAG workflows
- Design agentic inference pipelines
- Integrate LLM pipelines into customer systems
- Lead LLM training and fine tuning
- Optimize LLM inference throughput latency and memory
- Orchestrate agentic inference workflows
- Provide pre sales technical support for workshops and demos
Perks/Benefits
- N/A
Skills/Tech-stack
Agentic Inference | CUDA | Distributed Training | Docker | GPU Computing | GPU parallelism | Hugging Face | Hugging Face Transformers | KV cache | Kubernetes | Language Models | Large Language Models | Memory Optimization | Multi GPU Parallelism | Multi-GPU | PyTorch | Python | Quantization | RAG
Education
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