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*