Machine Learning /MLOps Engineer

Job description

ABOUT THE ROLE The Machine Learning Engineer will join a newly formed team focused on MLOps and ML Engineering within the data science team. This role is crucial for uplifting the existing ML infrastructure into a robust, scalable, and production-ready system, specifically supporting the increasing needs of the company. The engineer will design, build, and maintain the infrastructure, tools, and processes required for continuous integration, continuous delivery, and continuous training (CI/CD/CT) of machine learning models. This is a highly technical role that will interface with data scientists, data engineers, data architects and software engineers to ensure the reliability and performance of ML systems at scale. YOU WILL BE RESPONSIBLE FOR: Designing, implementing, and maintaining scalable MLOps pipelines for model training, testing, deployment, and monitoring. Building and managing the cloud infrastructure to host and serve real-time and batch machine learning models. Establishing robust model monitoring (drift, performance, data quality) and alerting systems to ensure operational health of ML services. Assisting and collaborating with Data Scientists to ensure production readi...