Machine Learning Operations Engineer

Buzz Solutions, inc.; Palo Alto (CA); On-site; USD 140,000 - 200,000; Full time

Job summary

Buzz Solutions, inc. is seeking a skilled ML backend engineer to join a dynamic team building a cloud-based ML platform.

You will design and deploy REST/gRPC APIs with Python, create end-to-end pipelines for model inference, and integrate SQL/NoSQL databases within a scalable cloud platform. The role involves working with model registries, MLOps frameworks, and CI/CD pipelines, plus monitoring production workloads, containers, Kubernetes, and cloud infrastructure across Google Cloud, AWS, and

Qualifications

• Bachelor’s degree in computer science or related field and 5 years of experience.
• Experience designing, implementing, debugging web technologies and server architectures.
• Coding, testing and developing using Python.
• Experience in SQL and NoSQL 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.

Responsibilities

• Build and maintain the infrastructure needed to support ML 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 ML 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.
• Suggest 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.

Skills

Python programming

Web development

Cloud infrastructure design

Database management

Education

Bachelor's degree in computer science or related field

Master's degree with 3 years’ experience in lieu of the Bachelor’s + 4

Tools

Google Cloud Platform

AWS

Azure

Job 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!

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*