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MLOps Engineer at Buzz Solutions. . Location: Remote. 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* . .