Lead AI/ML Platform Engineer _ Chicago, IL (Hybrid Position)

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 LLM’s 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 Hyatt’s 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.

 

 

 

 

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