AI Analytical Automation Engineer

MonolithicPowerSystemsInc.(MPS)---comejoinourteamandseehowYOUcanmakeadifference.

Job Description:

Summary:

Implement manage and support/maintain the AI large language models in MPS.

RESPONSIBILITIES:

• Responsible for the end-to-end technical implementation of enterprise-level large language model projects including solution design implementation deployment and optimization.
• Enhance model training and inference efficiency through Prompt engineering model fine-tuning (e.g. LoRA QLoRA) and performance evaluation.
• Utilize technologies like LangChain RAG and Agent to build AI systems and perform model performance optimization (e.g. quantization distillation).
• Track and research latest technological advancements in the industry to maintain technical leadership.
• Other assignments from Supervisor.

REQUIREMENTS:

• Technical Foundation: Solid foundation in machine learning/deep learning; proficient in Python and PyTorch; familiar with Transformer architecture and NLP tasks.
• Core Skills: Proficient in Prompt Engineering and LLM fine-tuning techniques; experience building complex AI applications using frameworks like RAG and Agent.
• Engineering Capability: Familiar with model optimization techniques (e.g. quantization pruning); proficient in development and deployment tools like Git and Docker; possesses cloud platform deployment experience.
• Comprehensive Skills: Experience with end-to-end project implementation; strong business acumen and cross-department communication skills.
• Good people and communication skills (English Chinese).

Monolithic Power Systems Inc. (MPS) is an Equal Opportunity Employer and embraces diversity in our employee population. It is the policy of MPS to provide equal opportunity to all qualified applicants and employees without regard to race color religion sex sexual orientation gender identity national origin age disability protected veteran status or special disabled veteran marital status pregnancy genetic information or any other legally protected status.