# Machine Learning Operations Engineer at Buzz Solutions

> Remote · United States · Unspecified · ML / AI · open. Source: https://alderhq.app/jobs/greenhouse%3Abuzzsolutions%3A4416895008 (read 2026-11-08).

## Facts (observed)

- Company: [Buzz Solutions](https://alderhq.app/companies/buzz-solutions)
- Location text: Remote; Remote, US
- Where it can be done from (inferred): Remote · United States (evidence: "Location: Remote; Remote, US")
- Posted: 2024-11-25 (713 days ago)
- First seen by alder: 2026-11-04 · last verified: 2026-11-08
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://job-boards.greenhouse.io/buzzsolutions/jobs/4416895008
- Skills listed (inferred): Python, AWS, GCP, Azure, Kubernetes, Docker, SQL, Testing

## Pay and sponsorship

- Posted pay: not posted
- Market band for similar posted roles (United States, n 735): p25 $183k, median $224k, p75 $275k

## Description (the employer's text)

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\*

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Abuzzsolutions%3A4416895008 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.