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Accenturevia Indeed
Full Stack LLM Developer - AI Engineering
SGPosted 4mo ago
NLP / LLMMid LevelFull-time#llm
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About the Role
You will be part of an exciting team that collaborates and manages to perform at their best. As an expert in Data Science, you will be responsible for making team decisions and providing solutions to problems for your immediate team and across multiple teams. Your expertise will be crucial in engaging with multiple teams and contributing to key decisions. Join us and be a valuable asset in driving innovation and success!
Design and evolve the advanced AI (including Gen AI LLM and multi-modal model) architecture blueprint and necessary technical capabilities
Understand and compare different technology options and advise on technology selection
Develop implementation roadmap for operationalizing the AI foundation and scalable architecture in the enterprise from the current state
Build and operationalize the end-to-end foundation architecture for enabling and governing AI at scale
Assess, evaluate, and incorporate appropriate technologies and platform across data, AI/ML models, operations, security and governance
Design and build custom architectural components as needed for a scaled AI foundation
Optimize compute infrastructure for better management of model serving, computational performance, and end-to-end observability
Implement end-to-end AI governance including responsible AI and security controls and monitoring
Advanced proficiency in Data Science
A minimum of 2 years of experience in relevant related skills
Bachelor's Degree
Advanced proficiency in Large Language Models
Advanced proficiency in Machine Learning
Design and evolve the advanced AI (including Gen AI LLM and multi-modal model) architecture blueprint and necessary technical capabilities
Understand and compare different technology options and advise on technology selection
Develop implementation roadmap for operationalizing the AI foundation and scalable architecture in the enterprise from the current state
Build and operationalize the end-to-end foundation architecture for enabling and governing AI at scale
Assess, evaluate, and incorporate appropriate technologies and platform across data, AI/ML models, operations, security and governance
Design and build custom architectural components as needed for a scaled AI foundation
Optimize compute infrastructure for better management of model serving, computational performance, and end-to-end observability
Implement end-to-end AI governance including responsible AI and security controls and monitoring
Advanced proficiency in Data Science
A minimum of 2 years of experience in relevant related skills
Bachelor's Degree
Advanced proficiency in Large Language Models
Advanced proficiency in Machine Learning
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