Machine Learning Operations Engineer

Job not on LinkedIn

🔥 3 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 23%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Buzz Solutions

WebsiteLinkedInAll Job Openings

11 - 50 employees

⚡ Energy

🤖 Artificial Intelligence

🔐 Security

Energy • Artificial Intelligence • Security

Buzz Solutions is a company specializing in visual intelligence solutions for the energy infrastructure sector. Their platform leverages artificial intelligence to inspect, maintain, and secure energy assets such as transmission lines, distribution grids, and substations. The company aims to modernize energy infrastructures by providing actionable intelligence to utility teams, enhancing operations, improving security, and optimizing project management. Buzz Solutions enables condition-based maintenance, detecting anomalies and defects quickly to prevent failures and manage vegetation effectively, especially during adverse weather conditions. The company collaborates with large utility organizations, offering technology that improves inspection efficiency, reduces maintenance costs, and enhances the reliability of energy supply.

📋 Description

• Build and maintain infrastructure supporting 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 • Set up 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 customer product-usage logs and test for vulnerabilities • Containerize ML-based backend applications and deploy container images on Kubernetes Engine • Maintain Google Cloud infrastructure, including Kubernetes Engine and virtual machines • Design and deploy cloud infrastructure and database systems while optimizing performance and costs • Provide unit and stress testing frameworks for cloud infrastructure services in production • Document processes, code reviews, and workflows to streamline product development and enhancements • Establish AI-based software platform features and timelines for the product roadmap • Review process and product performance data with the team to develop standard work • Suggest optimal and current technology stacks for the ML-based software platform backend • Work with software engineers to enhance platform performance and run continuous unit tests for deployed products

🎯 Requirements

• The candidate must have a bachelor’s degree in computer science or related field and 5 years of experience • Experience designing, implementing, and debugging web technologies and server architectures • Experience coding, testing, and developing using Python • Experience with SQL and NoSQL databases in cloud infrastructure • Experience developing backend applications, API integrations, and data pipelines on cloud infrastructures to handle customer data • Experience utilizing and maintaining Google Cloud, AWS, or Azure cloud infrastructure and services • 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