| AI/ML Data Platform Engineer || Contract || Chicago, IL (Hybrid Position) at Chicago, Illinois, USA |
| Email: [email protected] |
| Need someone with GCP, AI/ ML experience along with the given skills. Not looking for any Data Scientist or AI/ ML Engineers. Role: Data Platform Engineer Location: Chicago, IL (Hybrid Position) Type: Contract Interview Mode : Video Call 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. Work on the creating and support 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 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 Illinois |
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| Tue Feb 27 21:24:00 UTC 2024 |