🛠 Tech Stack

💼 About This Role

You'll design and optimize AI/ML infrastructure for scalable model training and deployment. Working with data scientists and platform engineers, you'll drive efficient resource utilization across cloud and hybrid environments. This role focuses on Kubernetes orchestration and GPU acceleration technologies.

🎯 What You'll Do

• Architect and manage Kubernetes clusters for AI/ML workloads
• Implement GPU orchestration with Run:ai and operators
• Develop Python automation scripts and ML pipelines
• Integrate and optimize NVIDIA Enterprise Suite components

📋 Requirements

• 4+ years in platform architecture
• 2+ years focused on AI/ML workloads
• Strong proficiency in Python and ML frameworks
• Hands-on experience with Kubernetes and container orchestration

✨ Nice to Have

• Certification in Kubernetes or cloud platforms
• Familiarity with distributed training techniques
• Experience with HPC environments

🎁 Benefits & Perks

• 🏖️ Unlimited PTO
• 🏥 Comprehensive health insurance
• 📈 401(k) matching
• 💻 Remote work stipend
• 📚 Professional development budget