Machine Learning Operations Engineer

November 27

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Buzz Solutions

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Machine Learning • Drone inspections • Predictive Analytics • Artificial Intelligence • Software Analytics

11 - 50 employees

⚡ Energy

🤖 Artificial Intelligence

🔐 Security

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. • 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.

Requirements

• 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.