MLOps Engineer

Be part of a dynamic team that is shaping the future of energy and technology. Responsibilities include building and maintaining the infrastructure needed to support machine learning development and deployment. Development involves REST API and gRPC applications using Python for deploying models as APIs and building end-to-end pipelines for model inference. Integrating SQL and NoSQL database systems with the software platform is essential, along with working with model registries and MLOPs frameworks to deploy machine learning models. Setting up tools and metrics to monitor, analyze drift, and maintain machine learning models in production is crucial, as is developing and maintaining CI-CD pipelines to deploy ML based backend artifacts. The candidate must have a bachelor’s degree in computer science or related field and 5 years of experience.