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Sobre esta vaga de Machine Learning Operations Engineer na Buzz Solutions

Buzz Solutions · Remoto · Remote

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* 

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Sobre a Buzz Solutions

Welcome!

We are excited that you are considering Buzz Solutions for your next employment. Our team is always on the hunt for bright individuals who want to make an impact and give back to the community. If you join, you will be working with a talented, passionate and hardworking team of engineers and product/project managers to build end-to-end Machine Learning products and pipelines that will be deployed for our customers in order to prevent issues such as power outages, forced shutdowns, impact of climate change on the aging grid infrastructure and preventing wildfires.

Buzz Solutions safeguards the world’s energy infrastructure by providing AI-based actionable insights and predictive analytics for power line and energy infrastructure inspections.

We are disrupting the power utility industry by providing automation for inspection and maintenance operations for infrastructure, using our AI-powered software platform, and are a venture-funded startup looking for great talent to share our vision of energy industry transformation.

Our solutions and technology allows the utilities to reduce current inspection operation costs by at least 50%, prevent power outages, prevent wildfires and manage their assets in an effective way.

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