Machine Learning Operations Engineer

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.