Senior AI Systems Engineer

📋 Description Architect, deploy, and manage infra for distributed AI training. Scale and maintain resilient services for low-latency inference. Utilize MLflow for experiment tracking and model registry. Optimize multi-cloud compute and LLM serving performance. Collaborate with AI researchers and software engineers to productionize models. 🎯 Requirements Education: BS/MS/PhD in CS, Software Eng, or related field. Experience: 3+ years in AI/ML systems, HPC, or ML infra. Multi-Cloud & Compute: AWS plus AI-centric GPU clouds. Cloud-Native Orchestration: Docker and Kubernetes; SkyPilot. LLM Serving: Serving LLMs with vLLM. Data Engineering for AI: SQL/NoSQL/Parquet for ML pipelines; ASR bonus.