Our clients ML Platform team enables 100+ ML scientists and engineers to train, deploy, and monitor models that serve 10M+ QPS across recommendation, search, ads, and GenAI products. Our platform powers e-commerce and content experiences similar to TikTok Shop, with a focus on reliability, speed, and developer velocity.

They treat ML infrastructure as a product and operate at the scale of major social-commerce platforms.

The Role

We are hiring an MLOps Engineer to build and scale the core ML platform used by all ML teams. You will own systems for training, serving, experimentation, and monitoring. Your work directly impacts how fast they can ship new models to production and how reliably they serve millions of users.

What You’ll Do

• Model Serving : Build and operate low-latency, high-throughput online inference services for deep learning and LLM models. Optimize with vLLM, Triton, TensorRT, GPU scheduling, and autoscaling