Related skills
kubernetes tensorflow pytorch llms genai📋 Description
- Serve as technical partner to success and sales; conduct architecture reviews and POCs.
- Advise on best practices and guide customers to optimal DigitalOcean solutions.
- Collaborate with Product, Engineering, and Ops to reflect customer needs.
- Design architectures for business use cases; optimize the customer cloud journey.
- Lead technical sessions, workshops, and trainings for customers.
- Demonstrate AI/ML expertise with frameworks and GenAI deployments.
🎯 Requirements
- Proven experience with cloud infrastructure and AI/ML platforms.
- Expertise in TensorFlow and PyTorch; familiarity with HuggingFace.
- Experience deploying and fine-tuning LLMs and GenAI models.
- Deep knowledge of Linux, distributed systems, Kubernetes, NFS, Object Storage; GPU optimization (CUDA, TensorRT).
- Hands-on with vLLM and quantization methods (INT4, INT8, FP8).
- Post-sales/technical consultant experience focused on AI/ML and cloud solutions.
🎁 Benefits
- Career development via conferences, training, and LinkedIn Learning.
- Remote-friendly culture with global team collaboration.
- Growth-focused culture with mentorship and ongoing learning.
- Inclusive, equal-opportunity employer with supportive culture.
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