Gcore
Gcore
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AI Solution Architect

19 135 - 27 350 PLN/ mies.Umowa o pracę (brutto)
SeniorFull-time·Umowa o pracę
#334358·Dodano 7 dni temu·2
Źródło: nofluffjobs.com
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Tech Stack / Keywords

PythonGolangMachine learningCloudGPUAnsibleTerraformKubernetesKubernetes controllersKubernetes operatorsDockerHelmPyTorchTensorFlow

Firma i stanowisko

Gcore is a global provider of infrastructure and software solutions for AI, cloud, network, and security, operating 210+ edge locations, 50+ cloud regions, and thousands of GPUs. The company collaborates with technology partners such as Intel, NVIDIA, Dell, and Equinix, supporting digital products worldwide with a team of 550+ professionals.


Wymagania

  • 3+ years experience in Cloud or GPU AI Infrastructure DevOps.
  • Proven track record deploying GPU clusters at scale, including multi-node, multi-GPU setups.
  • Hands-on experience with Ansible or similar configuration management tools; Terraform (IaC).
  • Strong familiarity with Kubernetes (K8s) and Slurm.
  • Proficient in Python and Go programming languages.
  • Solid understanding of ML ecosystems—models, tooling, and production deployment patterns.
  • Excellent verbal and written communication skills.

Nice to have:

  • Experience deploying high-availability inference infrastructure for production AI workloads.
  • Implement and optimize distributed training and inference pipelines with MLflow, REST APIs, and frameworks such as PyTorch, TensorFlow, JAX.
  • Ability to transition ML pipelines from proof-of-concept to robust, scalable production systems.
  • Familiarity with GitOps workflows, Docker, Helm charts, and CI/CD for ML.
  • Knowledge of Hugging Face transformers, Scikit-learn, and experiment tracking best practices.

Obowiązki

Architect & Deploy:

  • Design end-to-end GPU cluster architectures (on-premises and cloud) using Ansible, Terraform, Kubernetes, and Slurm.

Customer Engagement:

  • Lead technical deep-dives, conduct workshops, and present solutions to stakeholders at all levels.

Automation & IaC:

  • Build and maintain Infrastructure as Code modules to automate provisioning, scaling, and monitoring of GPU resources.

Documentation & Enablement:

  • Produce whitepapers, runbooks, and training materials; host webinars and training sessions.

Feedback Loop:

  • Partner with Gcore's engineering and product teams to relay customer insights and drive product enhancements.

Oferta

  • Competitive salary
  • Flexible working hours
  • Remote, hybrid, or office work options depending on role
  • Work from anywhere in the world for up to 45 days per year
  • Private medical insurance for employee and family (varies by country)
  • 5 additional vacation days
  • Additional fully paid sick leave days
  • Allowance for significant life events and birthdays
  • Language classes
  • Modern office space with free snacks, drinks, and entertainment options
  • Team sports activities
Elastyczne godziny
Opieka zdrowotna
Kursy językowe
Darmowe przekąski
Karta sportowa

Inne informacje

We provide equal opportunity to all applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity, gender expression, national origin, disability, or any other legally protected characteristics.

Gcore

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