Machine Learning Engineer - MLOps Team

Aura Intelligence is seeking a Machine Learning Engineer to join their MLOps team in a fast-paced startup environment. This role focuses on productionizing models and building robust, scalable classification systems. The position offers significant autonomy in driving ML infrastructure evolution from development through deployment. The role involves close collaboration with data scientists and engineers to implement production-grade machine learning pipelines, optimize model deployment, and maintain high-performance systems. Key responsibilities include developing ML pipelines, managing production deployments of various classification models, and building robust MLOps infrastructure. The ideal candidate will have extensive experience in ML engineering, strong expertise in NLP methods, and proven ability in handling large-scale data integration challenges. This role represents an opportunity to make a direct impact on product success while working with cutting-edge ML technologies and infrastructure. The position requires both technical expertise and strong collaborative skills, offering the chance to shape MLOps practices and build scalable ML systems that drive business value.