Remote Machine Learning Operations Engineer

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.
• 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.

Requirements:

• The candidate must have a bachelor’s degree in computer science or a related field and 5 years of experience.
• Experience must include designing, implementing, and debugging web technologies and server architectures.
• Proficiency in coding, testing, and developing using Python is required.
• Experience in SQL and NoSQL databases in Cloud Infrastructure is necessary.
• The candidate should have experience in developing backend applications, API integrations, and data pipelines on cloud infrastructures to handle customer data.
• Utilization and maintenance of cloud infrastructure and services using Google Cloud, AWS, or Azure Cloud is essential.
• The employer will accept a master’s degree and 3 years of experience in lieu of the Bachelor’s plus 4 years of experience.

Benefits:

• Join a collaborative and innovative environment that values exceptional customer support.
• Be part of a team that is shaping the future of energy and technology.
• Opportunity to work with cutting-edge technologies in machine learning and cloud infrastructure.
• Engage in a dynamic work culture that encourages professional growth and development.