ML Ops Engineer: Scale Production ML & Pipelines

Spotter is seeking a Machine Learning Operations Engineer in Culver City to join the Product team. This pioneering role focuses on designing, building, and maintaining scalable solutions for deploying ML models to enhance efficiency and support a growing user base. The ideal candidate should have at least 5 years of experience in deploying ML models in production, excellent communication skills, and proficiency in CI/CD tools and containerization. You will work with diverse teams to ensure a seamless deployment process.