
Senior AI Platform Engineer
Posted Oct 9

Posted Oct 9
This is a fully remote position, open to applicants in Spain.
• Design, implement, and operate highly available AI/ML platforms and services on Kubernetes.
• Develop and implement scalable GPU infrastructures, incorporating GPU scheduling and sharing.
• Implement and maintain inference services and model deployment for ML and LLMs.
• Develop and manage MLOps and LLMOps processes for production-ready Generative AI services.
• Execute fine-tuning processes and continuous retraining.
• Monitor, diagnose, and optimize AI platforms, focusing on GPU utilization, latency, and throughput.
• Advise clients on best practices, AI governance, security, and data protection.
• Collaborate with Data Science teams, data platforms, and development teams.
• Design AI platform architectures and make critical technological decisions at the Senior level.
• Provide technical leadership on client projects and mentor professionals.
• Minimum of 3 years of experience operating and optimizing large-scale platforms and services on Kubernetes.
• Strong knowledge in designing and operating scalable Kubernetes-based solutions, ideally including GPU workload handling.
• Experience in programming with Python; familiarity with Golang or Java is a plus.
• Experience with at least one model serving framework, such as vLLM, NVIDIA Triton, or KServe.
• Practical knowledge of MLOps tools such as MLflow, Kubeflow, or ClearML.
• Experience with Terraform and Ansible, as well as CI/CD and GitOps tools like Argo CD or Flux.
• Excellent communication skills in both Spanish and English.
• Mandatory residency in Spain; remote applications from other countries will not be accepted.
• For Senior level: over 5 years of relevant experience in Platform Engineering.
• For Senior level: responsibility for AI platform architectures and critical technological decisions.
• For Senior level: technical leadership on client projects and mentorship.
• Willingness to travel occasionally within Spain or Europe.
• CKA, CKAD, and NVIDIA certifications are valued.
• Continuous professional development and access to specialized training.
• A collaborative, international environment focused on learning.
• Flexibility and autonomy.
• Intensive onboarding and regular training.
• Permanent Full-Time position.
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