# Machine Learning Operations Engineer at Buzz Solutions

Machine Learning Operations Engineer at Buzz Solutions in Remote. Remote. Posted November 25, 2024.

- Company: Buzz Solutions
- Location: Remote
- Workplace: Remote
- Experience: 5+ years
- Posted: 2024-11-25
- Apply: https://job-boards.greenhouse.io/buzzsolutions/jobs/4416895008
- Source: https://jobmagic.ai/jobs/machine-learning-operations-engineer-buzz-solutions-37p0a1

## Requirements

- 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.

## Description

**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*