Senior Solutions Architect II, AI/ML

🕒 Junho 18

🏄 California – Remoto

🏄 California – Remote

💵 $150.000 - $182.000 / ano

⏰ Tempo Integral

🟠 Sênior

💻 Engenheiro de Soluções

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DigitalOcean

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

Fundada em 2011

☁️ SaaS

SaaS • Cloud Computing

A DigitalOcean é um provedor de infraestrutura em nuvem que oferece um conjunto de produtos e serviços para que desenvolvedores construam, implantem e dimensionem aplicações. Sua plataforma disponibiliza tutoriais abrangentes, materiais de referência e documentação de suporte para ajudar os usuários a gerenciar recursos de forma eficiente usando suas ferramentas de API e CLI. Com recursos como Droplets (máquinas virtuais), bancos de dados gerenciados, Kubernetes e um marketplace de aplicações de terceiros, a DigitalOcean prioriza simplicidade e desempenho. Atende tanto desenvolvedores individuais quanto organizações de maior porte que buscam soluções em nuvem fáceis de implementar e gerenciar.

Descrição

• Serve as a technical partner to the success and sales teams. • Perform architecture reviews, proof of concepts, demos, uncover customer technical needs, and demonstrate DigitalOcean's value proposition. • Develop deep expertise in the DigitalOcean product portfolio, and AI/ML platforms. • Advocate for customers by providing feedback to product teams, overcoming adoption blockers, and driving new feature development. • Offer personalized onboarding assistance and guide customers through their cloud journey. • Design and review architecture tailored to specific business use cases, ensuring optimal solutions for customers. • Implement and oversee infrastructure management best practices. • Identify opportunities for cost reduction and performance improvement. • Conduct technical consultation sessions, workshops, and training for customers. • Provide regular presentations articulating product benefits and technical solutions.

🎯 Requisitos

• Proven professional experience with cloud infrastructure, AI/ML platforms, or equivalent education. • Expertise in AI/ML frameworks (e.g., TensorFlow, PyTorch) and familiarity with platforms like Hugging Face. • Experience deploying and fine-tuning LLMs (e.g., DeepSeek, Llama, Claude, GPT-4) and GenAI models. • Deep knowledge of Linux, distributed systems, Kubernetes, NFS, Object Storage, and GPU optimization techniques (e.g., CUDA, TensorRT). • Hands-on experience leveraging vllm and various quantization methods (e.g., INT4, INT8, and FP8) for efficient model deployment. • Programming/development experience, particularly in building AI-powered applications (e.g., recommendation systems, chatbots). • Experience working in a post-sales or technical consultant role with a focus on AI/ML and cloud solutions. • Knowledge of provisioning, deployment strategies, and tools like Terraform, Kubernetes, and Docker. • Fluency in English.

🏖️ Benefícios

• Competitive salary • Bonuses based on performance • Equity compensation options • Reimbursement for relevant conferences, training, and education • 10,000+ LinkedIn Learning courses access • Competitive array of benefits from Employee Assistance Program to flexible time off policy