Del Oro Consulting, Inc.Remote
Sales Solutions Engineer
Texas, United States of America
Contract
3 hours ago
$54 - $58 USD
No Visa Sponsorship
Key skills
AWSAzureCloudDockerGoogle Cloud PlatformKubernetesPyTorchTensorflowAIMLLLMTensorFlowHugging FaceGCPGoogle CloudPresentation Skills
About this role
Role Overview
- Activate partners to drive adoption of our AI solutions across various industries.
- Help partners identify and build Secure Factory with NVIDIA AI Use Cases for both core and edge.
- Work with partners to develop and deliver Secure AI Factory workshops.
Requirements
- Seeking significant experience with end-to-end architecture/design work across multiple technology areas for DC and hybrid cloud solutions.
- Public, hybrid and private cloud computing and architecture experience along with Virtualization or X86 Architectures or Operating Systems.
- Experienced in the design and/or deployment of Data Center solutions including traditional DC standalone design, VXLAN fabric-based architectures.
- Experience providing consumable documentation of standard methodologies for deployment around application acceleration, automation/management efficiencies, enterprise edge, and/or AI/ML solutions.
- 6+ years knowledge of any combination of Datacenter, Storage, Compute, Apps, Big Data, Converged Infrastructure, AI infrastructure or Data Center Networking experience.
- Bachelor's Degree or equivalent in Computer Science, Computer Engineering, Electrical Engineering, or related field.
- Advanced degree is a plus.
- Experience working with partners to build and deliver GTM activities.
- Knowledge and understanding of networking protocols and technologies.
- Excellent presentation skills
- ability to deliver engaging workshops to both technical and non-technical audiences on AI topics.
- AI experience with Nvidia, IBM, Microsoft, Dell, NetApp, HPE, and/or other AI vendors.
- In-depth understanding of language models, including but not limited to GPT-3, BERT, or similar architectures.
- Expertise in training and fine-tuning LLMs using popular frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers.
- Experience in deploying LLM models in cloud environments (e.g., AWS, Azure, GCP) and on-premises infrastructure.
- Familiarity with containerization technologies (e.g., Docker or equivalent experience) and orchestration tools (e.g., Kubernetes) for scalable and efficient model deployment.
Tech Stack
- AWS
- Azure
- Cloud
- Docker
- Google Cloud Platform
- Kubernetes
- PyTorch
- Tensorflow