AI Solution Architect

O projekcie: Company Description The world’s digital experiences run on something invisible: the infrastructure and software that keep them fast, reliable, and secure. At Gcore, you’ll help design and deliver that foundation for an AI-driven world.  We’re a global provider of infrastructure and software solutions for AI, cloud, network, and security, powering everything from real-time communication and streaming to enterprise AI and secure web applications. With 210+ edge locations, 50+ cloud regions, and thousands of GPUs, your work here can reach users and businesses across the globe.  You’ll collaborate with leading technology partners such as Intel, NVIDIA, Dell, and Equinix, and work on platforms that power digital products used around the world. Our vision is simple: to connect the world to AI, anywhere, anytime.  Want to work on technology that goes beyond a single product or industry?  Join a global team of 550+ professionals building infrastructure and software that supports the entire digital ecosystem.  Benefits  At Gcore, we want you to do your best work and enjoy the journey. Our benefits are designed to support your growth, well-being, and life beyond work:  - Competitive salary - Flexible working hours - Remote, hybrid, or office work options depending on your role - Work from anywhere in the world for up to 45 days per year - Private medical insurance for you and your family* - 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, drink and entertainment options* - Team sports activities* *Please be aware that this benefit may vary depending on your country. Equal Opportunity Employer 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. Wymagania: What We're Looking For - Experience: 3+ years in Cloud or GPU AI Infrastructure DevOps. - Infrastructure Skills: Proven track record deploying GPU clusters at scale, including multi-node, multi-GPU setups. - Automation Expertise: Hands-on with Ansible or similar configuration management tools; Terraform (IaC). - Orchestration & Scheduling: Strong familiarity with Kubernetes (K8s) and Slurm. - Programming: Proficient in Python / Go. - ML Proficiency: Solid understanding of ML ecosystems—models, tooling, and production deployment patterns. - Communication: Excellent verbal and written skills; ability to translate complex technical concepts for diverse audiences. Nice-to-Haves - Experience deploying high-availability inference infrastructure for production AI workloads. - ML Ops Pipelines: Implement and optimize distributed training and inference pipelines with MLflow, REST APIs, and popular frameworks (PyTorch, TensorFlow, JAX). - Demonstrated 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. Codzienne zadania: - 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.