ML Engineer for Hybrid Deployment

Join our EdTech company to prevent student dropout using ML. We need an expert MLOps Engineer to convert research code into a production-grade inference engine. Refactor monolithic Jupyter Notebooks into a robust, containerized microservices architecture for hybrid deployment on AWS Cloud and on-premise servers. Key responsibilities include refactoring, containerization, and designing a system without proprietary cloud dependencies. Required tech stack includes Python, Docker, and AWS.