2 jobs found in Georgia

Machine Learning Architect   Roles and Responsibilities Lead the end-to-end architecture and development of machine learning solutions. Implement machine learning algorithms into services and pipelines to be consumed at large-scale. Engineer large scale development systems using full-stack, distributed shallow and deep-learning technologies and big data technologies. Architect and develop a highly scalable, distributed, multi-tenant set of microservices backend solutions. Be a part of a highly productive and creative engineering team   What Are We Looking For in This Role?   Highly Preferred: MS or PhD in Machine learning, Computer Vision, Natural Language Processing or a related field.   5+ years of experience architecting and developing AI and machine learning applications Ability to think critically, question assumptions and devise solutions to challenging technical problems. Hands-on experience...

Summary of This Role Design and implement solutions based on various middleware technologies, such as WebSphere, WebLogic, JBOSS, IIS, Apache, SunOne Web Server, Tibco, Pega Solutions, Webservice and XML Messaging/Gateway, between two or more systems within multiple target platforms that may include Windows, Unix/Linux or z/OS. Evaluate security models of vendor middleware technologies to ensure compliance with current company policies and/or industry regulations. Solve technical problems which involve large scale inter-disciplinary objectives with multiple, heterogeneous, distributed and/or mainframe systems that are embedded in networks at multiple levels. Hold and Maintain a proficiency in middleware technologies and industry best practices.   What Part Will You Play? Will coordinate continued operational availability for Splunk on-prem and cloud systems. Will ensure data ingestion is consistent to meet audit and compliance needs, as well as to...