Machine Learning Operations Engineer
Buzz Solutions4 hours ago
Remote, United StatesSenior
Responsibilities
- Build and maintain infrastructure supporting machine learning development and deployment.
- Develop Python-based REST API and gRPC applications for deploying models as APIs.
- Build end-to-end model inference, backend, and data pipelines on cloud infrastructure.
- Integrate SQL and NoSQL databases with the software platform.
- Deploy machine learning models using model registries and MLOps frameworks.
- Monitor production models, analyze drift, and maintain model performance.
- Develop and maintain CI/CD pipelines for ML-based backend artifacts.
- Containerize backend applications and deploy them on Kubernetes.
- Maintain and optimize cloud infrastructure, databases, performance, and costs on Google Cloud Platform.
- Create unit and stress testing frameworks for production cloud infrastructure services.
- Monitor customer-usage logs and test products for vulnerabilities.
- Document processes, conduct code reviews, and collaborate on product roadmap planning and platform enhancements.
Requirements
- Bachelor's degree in computer science or a related field and five years of experience.
- A master's degree with three years of experience may be accepted in lieu of the stated bachelor's-degree experience requirement.
- Experience designing, implementing, and debugging web technologies and server architectures.
- Experience coding, testing, and developing with Python.
- Experience with SQL and NoSQL databases in cloud infrastructure.
- Experience developing backend applications, API integrations, and cloud-based data pipelines handling customer data.
- Experience using and maintaining cloud infrastructure and services on Google Cloud, AWS, or Azure.
Tech Stack
Categories
About Buzz Solutions
Buzz Solutions builds a SaaS platform for utilities to manage and analyze visual inspection data from drones, helicopters, and field crews, detecting faults on transmission and distribution assets with computer vision. It sells software and services to electric utilities to automate grid inspections and maintenance workflows. Founded in 2017 and headquartered in Palo Alto, the company is privately held.