AI/ML Platform Engineer

Skills

Description

- 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.

Responsibilities

• - 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.

Educational Requirements

• - 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.