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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.\nResponsibilities\nBuild and maintain the infrastructure needed to support machine learning development and deployment.\nDevelop REST API and gRPC applications using Python for deploying models as APIs.\nBuild end-to-end pipelines for model inference, backend and data on the cloud software platform.\nIntegrate SQL and NoSQL database systems with the software platform.\nWork with model registries and MLOPs frameworks to deploy machine learning models\nSetup tools and metrics to monitor, analyze drift and maintain machine learning models in production.\nDevelop and maintain CI-CD pipelines to deploy ML based backend artifacts.\nMonitor the logs of customer usage of the products and test for any vulnerabilities.\nContainerize ML based backend applications and deploy container images on Kubernetes engine.\nMaintain cloud infrastructure including Kubernetes engine and virtual machines on Google Cloud Platform.\nDesign and deploy cloud infrastructure, database systems and optimize performance and costs.\nProvide unit and stress testing frameworks for cloud infrastructure services deployed in production environments.\nDocument the process, code reviews and workflow to streamline product development and enhancements.\nEstablish AI based software platform features and timelines for product roadmap.\nReview the process and product performance data w/ team to develop standard work.\nSuggestion optimal and current technological stack for building out the elements of the ML-based software platform backend.\nWork with a team of software engineers to enhance the performance of the software platform and run continuous unit tests for deployed products.\nQualifications & Experience\nThe candidate must have a bachelor’s degree in computer science or related field and 5 years of experience, including:\nDesigning, implementing, debugging web technologies and server architectures \nCoding, testing and developing using Python\nExperience in SQL and NO SQL databases in Cloud Infrastructure \nExperience in developing backend applications, API integrations, data pipelines on cloud infrastructures to handle customer data\nUtilizing and maintaining cloud infrastructure and services of using Google Cloud/AWS/Azure Cloud\nEmployer will accept a master’s degree and 3 years’ experience in lieu of the Bachelor’s plus 4.\n*Buzz Solutions does not provide sponsorship for work authorizations in the United States at this time*","description_format":"text","description_chars":2730,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Power Grid","Computer Vision","Energy 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