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AI Solution Architect | Gcore | Remote

2 hours, 18 minutes ago
Poland
Full-time
Senior
AI (Artificial Intelligence)
DevOps and Infrastructure
Ansible CI/CD Docker GitOps Go Helm Kubernetes Machine Learning MLflow Python PyTorch REST API Scikit-learn TensorFlow Terraform
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Bee Talents

Bee Talents

Bee Talents is your dedicated partner in tech recruitment, saving up to 75% on standard costs. We build efficient tech teams with tailored hires for niche positions in new technologies.

Professional Services
51-250
Founded 2015
View All Jobs 17

Description

  • Design end-to-end GPU cluster architectures for on-premises and cloud environments using Ansible, Terraform, Kubernetes, and Slurm.
  • Lead technical deep-dives, workshops, and solution presentations for stakeholders at different levels.
  • Build and maintain Infrastructure as Code modules to automate GPU resource provisioning, scaling, and monitoring.
  • Produce whitepapers, runbooks, and training materials to support customer enablement.
  • Host webinars and training sessions for customers and internal audiences.
  • Partner with engineering and product teams to share customer feedback and help drive product improvements.
  • Support deployment of AI infrastructure and workflows for production use cases.

Requirements

  • Proven track record deploying GPU clusters at scale, including multi-node and multi-GPU setups.
  • Hands-on experience with Ansible or similar configuration management tools.
  • Experience with Terraform and Infrastructure as Code practices.
  • Strong familiarity with Kubernetes and Slurm.
  • Proficiency in Python or Go.
  • Solid understanding of ML ecosystems, including models, tooling, and production deployment patterns.
  • Excellent verbal and written communication skills with the ability to explain complex technical concepts to diverse audiences.
  • Nice to have: experience deploying high-availability inference infrastructure for production AI workloads.
  • Nice to have: experience implementing and optimizing distributed training and inference pipelines with MLflow, REST APIs, and frameworks such as PyTorch, TensorFlow, or JAX.
  • Nice to have: experience transitioning ML pipelines from proof of concept to scalable production systems.
  • Nice to have: familiarity with GitOps workflows, Docker, Helm charts, and CI/CD for ML.
  • Nice to have: knowledge of Hugging Face transformers, Scikit-learn, and experiment tracking best practices.

Benefits

  • Competitive compensation.
  • Flexible working hours with hybrid or remote options, depending on the role.
  • Work from anywhere in the world for up to 45 days per year.
  • Private medical insurance for you and your family.
  • Extra paid vacation and sick leave days.
  • Support for important life moments and celebrations.
  • Language courses for professional growth.
  • Modern offices with snacks, drinks, and entertainment.
  • Team sports and social activities.

Interested in this position?

Apply directly on the company website

Apply Now

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