Related skills
docker kubernetes tensorflow pytorch hugging face📋 Description
- Act as trusted advisor for AI/ML and GPU workloads.
- Collaborate with Account Managers, TAC, and Partners on success plans.
- Design and implement scalable AI architectures for customers.
- Lead deep dives, workshops, POCs, and executive briefings.
- Help customers modernize workloads and align with goals.
- Provide feedback to shape product roadmaps.
🎯 Requirements
- 5+ years in Solutions Architecture or related roles.
- Deep expertise in TensorFlow and PyTorch.
- Experience deploying and fine-tuning LLMs and GenAI models.
- Strong knowledge of Kubernetes, Linux, NFS, Object Storage.
- CUDA, TensorRT, vllm, and quantization methods.
- Docker, Terraform, and CI/CD pipelines.
🎁 Benefits
- Career development resources and conference funding.
- Global benefits including EAP and flexible time off.
- Competitive pay with bonus and equity; ESPP.
- Equal opportunity employer with inclusive culture.
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