| Lead AI/ML Platform Engineer _ Chicago, IL (Hybrid Position) at Chicago, Illinois, USA |
| Email: [email protected] |
| Position: Lead AI/ML Data Platform Engineer Job Description: Primary Responsibilities: - Design and manage scalable, secure, and resilient solutions on Azure openAI service and AWS cloud to support organizational objectives. - Architect solutions for Azure OpenAI services and AWS cloud infrastructure, ensuring cost saving and high performance. - Lead migration of traditional AI services to leverage openai and LLMS and AWS, using appropriate services. - Employ cost management strategies for cloud spending optimization. - Provide infrastructure resources and guidance for effective application building on openAI and LLMs and AWS. - Incorporate DevOps practices into AI/ML cloud infrastructure for CI/CD pipeline efficiency. - Diagnose and resolve complex cloud issues to maintain high service levels. - Offer persistent technical support and advisement to development teams. Secondary Responsibilities: - Provide strategic guidance on GenAI solution architecture with the latest design patterns. - Develop and scale Azure openAI/GenAI applications, focusing on LLMs for innovation. - Serve as GenAI infrastructure advisor for AI-centric applications. - Stay updated with LLM application design patterns for scalability and efficiency. - Lead educational initiatives on GenAI and LLM technologies. Additional Qualifications and Experiences: - Experience with proof of concept (POC) development for GenAI applications and LLMs. - Design of machine learning applications and frameworks using GenAI and LLMs. - Proficiency in data platforms for scalable AI and ML model deployment. - Hands-on experience with Data Engineering, analytics, and AWS Cloud services. - Hands-on experience with GCP will be an added benefit. - Experience with CI/CD tools, scripting, and automation. As a Solution Architect at Hyatt: - Work on the creating and support of Hyatts Enterprise Data Platform. - Shape and build new analytical solutions to deploy in support of internal clients. - Create AI/ML, Analytics solutions to drive the next wave of innovation. - Recommend tools and new capabilities based on research of the current environment. - Inform strategy and architecture design working with engineering and migration teams. - Stay on top of the latest Cloud resources and lead efforts to prototype new technologies. - Develop critical systems for internal clients and manage data with Cloud technology. - Join a hands-on, highly visible team passionate about data and positioned for growth. - Provide expert guidance to ensure alignment with Hyatt architecture and standards. - Design and develop enterprise data solutions leveraging advanced data technologies. - Implement solutions for data migration, data delivery, and ML pipelines. - Build resilient, secure Data Platforms and Applications. -- Keywords: continuous integration continuous deployment artificial intelligence machine learning information technology |
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| Mon Feb 19 20:46:00 UTC 2024 |