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10 часов назад

Customer Engineer (AI/ML)

225 000 - 275 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
middle/senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

Текст:
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TL;DR

Customer Engineer (AI/ML): Supporting key and strategic customers of hirify.global GPU Cloud services, helping them design, deploy, and scale AI solutions while managing large-scale GPU workloads. Focus on troubleshooting complex AI/ML issues, optimizing GPU performance, and acting as a bridge between customers and product teams.

Location: Remote from the United States.

Salary: $225k - $275k OTE

Company

hirify.global is leading a new era in cloud computing to serve the global AI economy.

What you will do

  • Serve as the primary technical point of contact for troubleshooting and resolving complex AI/ML issues.
  • Guide customers in optimizing GPU performance for ML training and inference workloads, ensuring seamless integration and scalability.
  • Partner with the sales team to identify new opportunities, promote the latest products, and deliver technical presentations.
  • Act as a bridge to product teams, providing customer feedback, relaying feature requests, and ensuring alignment with customer requirements.
  • Engage with internal and external stakeholders, negotiate solutions, and effectively drive alignment to address customer challenges.

Requirements

  • Experience: 5+ years in roles like Solutions Architect, Technical Account Manager, or Customer Engineer, with hands-on experience in cloud services and AI/ML workloads.
  • Proficiency in Infrastructure as Code (IaC) tools like Terraform and Ansible.
  • Experience with Kubernetes and Python programming.
  • Solid understanding of GPU computing, including ML training, inference workloads, and GPU stacks (e.g., CUDA, OpenCL).
  • Customer-centric approach with a proven ability to build trust and foster long-term relationships.
  • Strong ability to explain technical concepts to technical and non-technical audiences.

Nice to have

  • Hands-on experience with HPC/ML orchestration frameworks (e.g., Slurm, Kubeflow).
  • Experience with deep learning frameworks (e.g., PyTorch, TensorFlow).
  • Familiarity with ML tools from NVIDIA, AWS, Azure, and Google Cloud providers.
  • Strong project management skills, with the ability to prioritize tasks and deliver on deadlines.
  • Proven experience mentoring technical teams and driving team growth.
  • Expertise in stakeholder negotiation to support problem resolution and ensure seamless collaboration.

Culture & Benefits

  • Health Insurance: 100% company-paid medical, dental, and vision coverage for employees and families.
  • 401(k) Plan: Up to 4% company match with immediate vesting.
  • Parental Leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
  • Remote Work Reimbursement: Up to $85/month for mobile and internet.
  • Disability & Life Insurance: Company-paid short-term, long-term, and life insurance coverage.
  • Flexible working arrangements.

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