Machine Learning Operations Engineer (MLOps)

Buzz Solutions is a dynamic company shaping the future of energy and technology. The role involves developing end-to-end backend pipelines for deploying machine learning models and maintaining cloud infrastructure while ensuring high performance and reliability.

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

Requirements:

• 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