| Opening for Gen AI Engineer only USC GC OR GC-EAD AND H4Ead at Plano, Texas, USA |
| Email: [email protected] |
| From: jai, spear staffing [email protected] Reply to: [email protected] Role : Gen AI Engineer Location: Plano, TX Onsite Duration: Long Term LLMP Databricks large Language Models Professional Certification is desired. Rate:- $65/hour on C2C +- Overview: Responsible for designing and maintaining strategy, architecture, and transition steps for current and new software services and infrastructure as they relate to business solutions. Apply common services and domain level knowledge of current day-to-day and future operations to guide integration of architectural development, designs and standards. Work with cross organizational teams to understand the requirements while working with solution architects and delivery teams to ensure services are implemented to specification and operate best in class. Set directions on the hardware and software platforms and understand how assets can be leveraged to optimize resources while supporting requirements. May also interact with industry, standards, and suppliers to ensure Client requirements are incorporated. Design and develop Gen AI use case model pipeline and other relevant engineer components using appropriate technologies/algorithms. Have experience with developing and building Large Language Models (LLM), Foundation Models, and AI systems. Have experience with developing Cloud-native applications and very good understanding of Cloud architecture, technologies, and best practices. Additionally Skills: Knowledge of Langchain and HuggingFace Model (IBM). Proficiency with server-side languages such as Python, Ruby, Java, PHP, etc. Proficiency with fundamental front-end languages such as HTML, CSS, JQuery, and JavaScript. Experience with JavaScript frameworks such as Angular JS, React, React with Redux. Experience with database technologies for structured and unstructured data. Experience with relevant code repository and project tools such as GitHub, JIRA, Confluence (NYLIC). Ability to integrate APIs, create automated test cases, perform Unit Testing (UT) and System Integration testing (SIT). Working experience with Continuous Integration, Continuous Deployment. Understanding of existing and emerging web standards such as HTML5 and Mobile. Demonstrated ability with Application Architecture, best practices and systems engineering industry trends. Solid understanding of Agile application delivery methodologies and release management activities. Have experience with large-scale backend platforms powering ML models (Snap). [email protected] 240-205-8541 Keywords: artificial intelligence machine learning javascript Texas Utah |
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| Fri Mar 01 21:42:00 UTC 2024 |