Assistant Credit Risk Manager / Deputy Credit Risk Manager / Credit Risk Manager / Senior Credit Risk Manager (large Language Model) At Human Resources / Office Administration
Me2Works
On-site
Large language models (llms) application pipelines
Llm-based agents
Knowledge base and rag systems
Develop and optimize Large Language Models (LLMs) application pipelines, including data preparation, prompt engineering, inference and response post-processing
Job Summary
Develop and optimize Large Language Models (LLMs) application pipelines, including data preparation, prompt engineering, inference and response post-processing.
Design and build robust LLM-based agents, including tool-use capabilities, planning and memory modules.
We offer competitive remuneration package and comprehensive fringe benefits including medical and life insurance, and different types of allowances to the right candidate.
Matching Summary
Develop and optimize Large Language Models (LLMs) application pipelines, including data preparation, prompt engineering, inference and response post-processing.
Skills & Requirements
Must-have
Large Language Models (LLMs) application pipelines
LLM-based agents
Knowledge base and RAG systems
Python programming language
PyTorch, Tensorflow, Hugging Face Transformers
Nice-to-have
Innovative AI technology practices
Collaboration with IT and business departments
Model efficiency techniques like LoRA
Key Requirements
Bachelor’s degree or higher in Computer Science, Computer Engineering, Information Systems, Statistics, Applied Mathematics
Proven experience in developing and deploying application using Large Language Models (LLMs)
Essential abilities in prompting, context engineering, and fine-tuning techniques
Experience in developing LLM-based agents and knowledge base/RAG systems
Familiarity with model efficiency techniques like LoRA and knowledge distillation