Related skills
kubernetes tensorflow pytorch llms genai📋 Description
- Develop deep expertise in DO products, cloud landscape, and AI/ML platforms.
- Advocate for customers; provide feedback to product teams; drive new features.
- Offer personalized onboarding and guide customers through their cloud journey.
- Design and review architecture tailored to specific business use cases.
- Implement and oversee infra best practices to secure and optimize cloud resources.
- Identify opportunities for cost reduction and performance improvement.
🎯 Requirements
- Proven professional experience with cloud infrastructure and AI/ML platforms.
- Expertise in AI/ML frameworks TensorFlow PyTorch and HuggingFace.
- Experience deploying and fine tuning LLMs and GenAI models.
- Linux, distributed systems, Kubernetes, NFS, Object Storage; GPU optimization via CUDA TensorRT.
- Programming/development experience building AI powered applications.
- Experience in post sales or technical consulting roles focusing on AI/ML and cloud solutions.
🎁 Benefits
- Career development resources and conferences reimbursement.
- LinkedIn Learning access for ongoing growth and courses.
- Well being programs and flexible time off.
- Equity compensation and Employee Stock Purchase Program.
- Inclusive, equal op employer.
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