Machine Learning Operations Engineer (MLOps)

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 • Develop end-to-end backend pipelines for deploying machine learning models. • Build Docker containers for trained machine learning models. • Deploy Docker container images on Kubernetes engine. • Maintain Kubernetes engine and virtual machines on Google Cloud Platform. • Develop Flask and FastAPI frameworks in Python for deploying models as APIs. • Deploy the models in production as REST APIs on cloud infrastructure. • Observe and measure current product performance. • Review the process and product performance data with the team to develop standard work. • Document the process, code reviews and workflow to streamline product enhancements. • Develop end-to-end pipeline for deploying software platform backend infrastructure. • Build end-to-end methodology for backend modules of the cloud software platform. • Choose the optimal technology stack for building out the elements of the software platform backend. • Establish platform features and timelines for product roadmap. • Integrate SQL database objects with the software platform. • Integrate machine learning model REST API endpoints with software platform. • Deploy the platform in production on cloud infrastructure. • Work with a team of software engineers to enhance performance of the software platform and run continuous unit tests for deployed products. • Observe and measure current product performance. • Review the process and product performance data w/ team to develop standard work. • Document the process, code reviews and workflow to streamline product enhancements. • Maintain and monitor cloud infrastructure. • Monitor the logs of customer usage of the products and test for any vulnerabilities. • Maintain database systems and optimize for 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 enhancements. Qualifications • Must have a Bachelor’s degree in Computer Science or related field and 4 years of experience, including: • Designing, implementing, debugging web technologies and server architectures (Java,JavaScript, NodeJS), databases in Cloud Infrastructure and with Python programming language • Develop applications, API integrations on cloud infrastructures to handle customer data • Utilizing and maintaining cloud infrastructure and services of Google Cloud Platform • Employer will accept a Master’s degree and 2 years’ experience in lieu of the Bachelor’s plus 4.