Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior/Staff Applied AI Engineer (DevOps/SRE): Deploying and managing high-performance AI models for enterprise customers with an accent on infrastructure optimization, GPU stack management, and scalable production environments. Focus on bridging the gap between cutting-edge AI research and real-world industrial applications through robust DevOps practices and direct customer collaboration.
Location: Must be based in Seoul (On-site)
Company
A pioneering AI company democratizing high-performance, open-source models and enterprise-grade AI solutions.
What you will do
- Onboard customers and provide technical guidance on deployment and integration of AI products.
- Ensure optimal production setups ranging from low-level GPU stacks to infrastructure and interfaces.
- Deploy state-of-the-art AI applications for diverse industrial use cases.
- Collaborate with researchers and product engineers on complex scaling and inference tasks.
- Contribute to open-source codebases for inference and fine-tuning.
- Participate in pre-sales calls to provide technical expertise to various stakeholders.
Requirements
- Fluent in English and Korean
- 5+ years of experience in a DevOps or Site Reliability Engineering role
- Experience deploying and managing AI-based products in production
- Proficiency in Python
- Strong experience with Docker, Kubernetes, and CI/CD pipelines
- Deep understanding of cloud platforms (AWS, Azure, GCP) and on-premises infrastructure
- Experience with IaC tools like Terraform or Ansible
Nice to have
- Experience as a Customer Engineer, Forward Deployed Engineer, or Solutions Architect
- Familiarity with AI frameworks such as PyTorch or TensorFlow
- Contributions to open-source projects in DevOps or AI
Culture & Benefits
- Collaborative, low-ego, and team-spirited environment
- Opportunity to work on high-stakes projects with global impact
- Exposure to cutting-edge AI research and enterprise-scale deployments
- Dynamic, innovation-driven workplace
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