Related skills
kubernetes tensorflow pytorch llms genai📋 Description
- Serve as technical partner to success and sales teams.
- Perform architecture reviews, PoCs, and demos.
- Advise on best practices; guide customers to optimal solutions.
- Collaborate with Product, Engineering, and Operations for feedback.
- Retain large customers and expand workloads on DigitalOcean.
- Work with a global team of Solutions Architects, CS, and AMs.
🎯 Requirements
- Experience with cloud infrastructure and AI/ML platforms.
- AI/ML frameworks: TensorFlow, PyTorch; Hugging Face.
- Deploying/fine-tuning LLMs and GenAI models.
- Linux, distributed systems, Kubernetes, NFS, Object Storage; GPU opt (CUDA, TensorRT).
- Hands-on with vllm and model quantization (INT4/INT8/FP8).
- Programming AI-powered apps (chatbots, recommendations).
- Terraform, Kubernetes, Docker provisioning/deployment.
- Fluent English; strong communication.
🎁 Benefits
- Remote work options and flexible time off.
- Career development via conferences, training, LinkedIn Learning.
- Equity and bonus opportunities; Employee Stock Purchase Program.
- Supportive, inclusive culture and equal-opportunity employer.
- Access to premium support resources and global collaboration.
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