Senior Solutions Architect II, AI/ML

🕒 il y a 5 mois

🗽 New York – Distant

🗽 New York – Remote

💵 $150 000 - $186 000 / an

⏰ Temps Plein

🟠 Senior

💻 Ingénieur Solutions

🦅 Parrain de Visa H1B

Cette entreprise a parrainé des visas H1B par le passé.

👻 Score fantôme 45%

Ce que ça veut dire : la probabilité que cette offre reste ouverte sans recrutement actif.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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DigitalOcean

Site WebLinkedInTous les Emplois

1001 - 5000 employés

Fondée en 2011

☁️ SaaS

SaaS • Cloud Computing

DigitalOcean est un fournisseur d'infrastructure cloud qui propose une suite de produits et services permettant aux développeurs de créer, déployer et faire évoluer des applications. Leur plateforme offre des didacticiels complets, des documents de référence et des supports documentaires pour aider les utilisateurs à gérer efficacement leurs ressources en utilisant leurs outils API et CLI. Avec des fonctionnalités telles que Droplets (machines virtuelles), des bases de données gérées, Kubernetes et un marketplace pour les applications tierces, DigitalOcean met l'accent sur la simplicité et les performances. Ils s'adressent à la fois aux développeurs individuels et aux grandes organisations à la recherche de solutions cloud faciles à mettre en œuvre et à gérer.

Description

• Serve as a technical partner to Customer Success and Sales teams • Perform architecture reviews, proofs of concept, demos, and technical consultations • Uncover customer technical needs and demonstrate DigitalOcean's value proposition • Develop expertise in DigitalOcean's product portfolio, cloud landscape, and AI/ML platforms • Advocate for customers by providing product feedback, overcoming adoption blockers, and driving feature development • Provide personalized onboarding and resolve technical blockers throughout customers' cloud journeys • Design and review architectures for specific business use cases • Implement infrastructure management best practices to secure and optimize cloud resources • Identify cost reduction and performance improvement opportunities • Conduct customer workshops, training, and technical consultation sessions • Partner with Growth Account Managers and Customer Success Managers on retention and expansion success plans • Present product benefits, functionality, and technical solutions • Deploy and fine-tune LLMs and GenAI models; optimize GPU workloads using CUDA or TensorRT • Build scalable AI applications such as chatbots, inference services, and recommendation systems using Kubernetes and NFS • Design AI solutions, manage data pipelines, and integrate databases • Liaise with Engineering and Support to resolve escalations and growth obstacles • Drive process improvements and promote technical best practices • Contribute to internal and external documentation • Build tools to improve Premium Support customer experience and platform usability • Work independently and collaboratively with a global team

🎯 Exigences

• Proven professional experience with cloud infrastructure, AI/ML platforms, or equivalent education • Expertise in AI/ML frameworks such as TensorFlow and PyTorch • Familiarity with platforms like Hugging Face • Experience deploying and fine-tuning LLMs and GenAI models • Deep knowledge of Linux, distributed systems, Kubernetes, NFS, Object Storage, and GPU optimization techniques such as CUDA and TensorRT • Hands-on experience with vllm and quantization methods such as INT4, INT8, and FP8 • Programming/development experience building AI-powered applications • Experience in a post-sales or technical consultant role focused on AI/ML and cloud solutions • Knowledge of provisioning, deployment strategies, Terraform, Kubernetes, and Docker • Track record of developing successful technical solutions, including AI/ML use cases • Strong understanding of AI/ML data pipelines, cloud-native databases, and integration strategies • Strong communication skills for explaining technical AI/ML concepts clearly and concisely • Fluency in English • Cloud certifications are highly desirable, including AWS, GCP, Oracle, or Azure • NVIDIA certifications around GPU and AI/ML • Networking certifications such as Cisco or Juniper • Programming/scripting knowledge in Ruby, Python, Go, or Bash • Source code experience with Git • Automation experience with Terraform, Ansible, Chef, Puppet, or Saltstack • Virtualization experience with KVM or Xen • Database experience with MongoDB, MySQL, Redis, or PostgreSQL • Open-source experience with CoreOS, Docker, Kubernetes, Vagrant, or related certifications • DigitalOcean API, libraries, and services experience • Linux certifications such as RHCSA/RHCE

🏖️ Avantages

• Reimbursement for relevant conferences, training, and education • Access to LinkedIn Learning's 10,000+ courses • Employee Assistance Program • Local Employee Meetups • Flexible time off policy • Bonus eligibility based on company and individual performance • Equity compensation, including equity grants upon hire • Option to participate in the Employee Stock Purchase Program