Machine Learning Operations Engineer
# Machine Learning Operations Engineer **Buzz Solutions** · United States · `Remote` · `Full Time` 💼 **Уровень роли:** `Mid-level` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Himalayas (JSON API)* --- ### Top Skills & Match 🎯 **Ключевой стек роли:** `[Machine-Learning-Operations-Engineer]` `[MLOps-Engineer]` `[Cloud-Engineer]` `[Software-Engineer]` `[DevOps-Engineer]` `[ML-Operations-Engineer]` `[Machine-Learning-Operations-Specialist]` `[AI-ML-Operations-Engineer]` `[AI-ML-Ops-Engineer]` `[AI-ML-Operations-Specialist]` `[Machine-Learning-Infrastructure-Engineer]` --- ### About the Role 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* Originally posted on Himalayas
- Machine-Learning-Operations-Engineer
- MLOps-Engineer
- Cloud-Engineer
- Software-Engineer
- DevOps-Engineer
- ML-Operations-Engineer
- Machine-Learning-Operations-Specialist
- AI-ML-Operations-Engineer
- AI-ML-Ops-Engineer
- AI-ML-Operations-Specialist
- Machine-Learning-Infrastructure-Engineer
Наблюдалась 2026-10-11, впервые 2026-10-11, источник — Himalayas (JSON API).