Kforce has a client that is seeking a Machine Learning Operations Engineer in Westlake, TX. Responsibilities: * Model Deployment and Management: Develop and manage the deployment of machine learning models in production environments, ensuring scalability, reliability, and efficiency * Infrastructure Automation: Design and implement automated workflows and pipelines for model training, testing, and deployment using tools like Jenkins, Docker, and Kubernetes * Aerospike Management: Use Aerospike for high-performance data storage and retrieval, ensuring optimal data handling for machine learning applications * API Development: Design, develop, and maintain robust APIs for model integration with various applications and services * Collaboration: Work closely with data scientists, software engineers, and other stakeholders to understand requirements and translate them into technical solutions * Monitoring and Optimization: Implement monitoring and logging solutions to track model performance and system health, optimizing as necessary to meet business objectives * Security and Compliance: Ensure that all deployed models and systems align with industry standards and regulations, implementing vital security measures