Buzz Solutions · 9 hours ago
Machine Learning Operations Engineer
United States
Full-time
Remote
Mid, Senior Level
5+ years exp
Maximize your interview chancesAnalyticsArtificial Intelligence (AI)
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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.
Qualification
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Required
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.
Company
Buzz Solutions
Buzz Solutions provides a platform for teams for fostering smart, stable, and resilient infrastructure inspections and monitoring.
11-50 employees
H1B Sponsorship
Buzz Solutions has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (1)
2021 (1)
2020 (1)
Funding
Current Stage
Early StageTotal Funding
$9.5MKey Investors
GoPoint VenturesBlackhorn Ventures
2024-03-20Series Unknown· $5M
2022-12-01Series Unknown· $3.3M
2022-01-31Seed· undefined
Leadership Team
Kaitlyn Albertoli
CEO & Co-founder
Vikhyat Chaudhry
Founder
Company data provided by crunchbase
