MLOps Engineer - Leading AI Firm - Up to $300K Base

OverviewYou would be coming on as a MLOps Engineer at a leading AI company, where large-scale simulation meets machine learning. Backed by a high-profile VC, their cloud-native platform runs thousands of high-fidelity simulations that fuel ML models across industries from energy to manufacturing.ResponsibilitiesOwn the infrastructure that takes models from research into production at scale.Design and maintain end-to-end pipelines, deploy and monitor models in production, and ensure reliability across massive datasets, including complex 3D simulation data.Work with GCP, Kubernetes, Docker, Vertex AI, and modern MLOps frameworks like Kubeflow and MLflow.Write production-level code, move quickly, and collaborate closely with our team of engineers and scientists.QualificationsExperience with GCP, Kubernetes, Docker, Vertex AI, Kubeflow, and MLflow.Strong coding skills in Python, Bash, and SQL; experience building scalable ML infrastructure.Curious, collaborative, and eager to grow; an interest in physics is a plus.Employment detailsSeniority level: Mid-Senior levelEmployment type: Full-timeIndustries: IT Services and IT Consulting #J-18808-Ljbffr

Created: 2025-09-17