
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!
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 with the team to develop standard work.
- Suggest 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
- Bachelor’s degree in Computer Science or related field and 5 years of experience (or a Master’s degree and 3 years of experience).
- Designing, implementing, debugging web technologies and server architectures.
- Coding, testing, and developing using Python.
- Experience in SQL and NoSQL 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.
Note: Buzz Solutions does not provide sponsorship for work authorizations in the United States at this time.
Timezone overlap
UTC-8–-4
Open to
US
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