Machine Learning Operations Engineer
Buzz Solutions · 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*