Machine Learning Operations Engineer

Job Description Join Buzz Solutions and be part of a dynamic team that is shaping the future of energy and technology. If you are passionate about delivering exceptional customer support and thrive in a collaborative and innovative environment, we want to hear from you! Apply now to embark on an exciting journey with us. Responsibilities * Build and maintain the infrastructure needed to support machine learning development and deployment. * Develop REST API and gRPC applications using Python for deploying models as APIs. * Build end-to-end pipelines for model inference, backend and data on the cloud software platform. * Integrate SQL and NoSQL database systems with the software platform. * Work with model registries and MLOPs frameworks to deploy machine learning models * Setup tools and metrics to monitor, analyze drift and maintain machine learning models in production. * Develop and maintain CI-CD pipelines to deploy ML based backend artifacts. * Monitor the logs of customer usage of the products and test for any vulnerabilities. * Containerize ML based backend applications and deploy container images on Kubernetes engine. * Maintain cloud infrastructure including Kubernetes engine and virtual machines on Google Cloud Platform. * Design and deploy cloud infrastructure, database systems and optimize performance and costs. * Provide unit and stress testing frameworks for cloud infrastructure services deployed in production environments. * Document the process, code reviews and workflow to streamline product development and enhancements. * Establish AI based software platform features and timelines for product roadmap. * Review the process and product performance data w/ team to develop standard work. * Suggestion optimal and current technological stack for building out the elements of the ML-based software platform backend. * Work with a team of software engineers to enhance the performance of the software platform and run continuous unit tests for deployed products. Qualifications & Experience * The candidate must have a bachelor’s degree in computer science or related field and 5 years of experience, including: * Designing, implementing, debugging web technologies and server architectures  * Coding, testing and developing using Python * Experience in SQL and NO SQL databases in Cloud Infrastructure  * Experience in developing backend applications, API integrations, data pipelines on cloud infrastructures to handle customer data * Utilizing and maintaining cloud infrastructure and services of using Google Cloud/AWS/Azure Cloud * Employer will accept a master’s degree and 3 years’ experience in lieu of the Bachelor’s plus 4. *Buzz Solutions does not provide sponsorship for work authorizations in the United States at this time*