SPREEAI

AI Engineer

• Build and operate SPREEAI’s end-to-end ML platform spanning training, evaluation, deployment, and monitoring.
• Enable scalable and reliable training workflows through orchestration, infrastructure, and resource management systems.
• Define platform standards for model packaging, model registry, dataset lineage, experiment tracking, checkpointing, and deployment automation.
• Enable reliable and scalable inference deployments through standardized serving, orchestration, and monitoring frameworks.
• Build and operate model deployment pipelines with versioning, reproducibility, rollback, approval gates, evaluation gates, and production observability.
• Establish production SLOs for latency, availability, error rate, GPU saturation, cold-start time, cost per inference, and model quality drift.
• Standardize and support serving infrastructure using modern inference runtimes such as vLLM, NVIDIA Triton, TensorRT-LLM, Ray Serve, TorchServe, ONNX Runtime, or equivalent systems.
• Design and manage GPU allocation, scheduling, and resource utilization across training and inference workloads.
• Improve GPU utilization, throughput, latency, reliability, and cost efficiency across model lifecycle systems.

Principal Engineer, AI Platform – Infrastructure

Social Media Manager

• Capture and create content that builds CEO's presence in fashion-tech, AI, and culture
• Manage and grow SPREEAI’s social presence across various platforms
• Brainstorm, script, film, edit, and publish compelling short-form and long-form content
• Support the CEO at events by capturing content in real time
• Stay plugged into internet culture, platform behavior, and evolving preferences
• Build and maintain a thoughtful content calendar aligned with company goals
• Monitor comments and conversations around the brand and CEO
• Track performance across platforms and refine strategy accordingly

Principal Engineer, AI Platform – Infrastructure

Social Media Intern