大模型算法工程师
@ China Asset Management Co., Ltd.

Beijing, Beijing, China
CN¥500,000
On Site
Full Time
Posted 23 days ago

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XXXXXXXXX XXXXXXXXX XXXXXX****** @chinaassetmanagement.com
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Job Details

Position Overview

The 大模型算法工程师 at China Asset Management Co., Ltd. collaborates closely with team members to implement AI large model applications for specific business scenarios. The role involves researching and applying new technologies, as well as in-depth understanding of underlying algorithm principles to support business innovation and development.

Responsibilities

  • Collaborate with team members to deliver engineering solutions for AI large model applications.
  • Research and apply new technologies and trends.
  • Deeply understand underlying algorithm principles for business support.

Requirements

  • Graduate degree (master's or above) in Computer Science, Mathematics, or Statistics with 3+ years of experience in machine learning, NLP, or large models. Experience in large model tuning and application development is a plus.
  • Proficient in programming languages such as Python and Java; familiar with PyTorch and large model frameworks like vLLM/LMDeploy.
  • Knowledgeable in NLP algorithms (Transformer, BERT, etc.) and search algorithms; practical experience with prompt engineering, RAG, or Agent is preferred.
  • Excellent engineering development skills.
  • Strong problem analysis and solution abilities, coupled with good communication and teamwork skills.

Key skills/competency

  • AI
  • Large Models
  • Machine Learning
  • NLP
  • Python
  • Java
  • PyTorch
  • vLLM
  • BERT
  • Teamwork
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How to Get Hired at China Asset Management Co., Ltd.

🎯 Tips for Getting Hired

  • Research China Asset Management Co., Ltd.: Understand company values and recent projects.
  • Customize your resume: Emphasize AI and large model experiences.
  • Highlight relevant skills: Detail proficiency in Python, Java, and NLP.
  • Prepare for technical interviews: Review machine learning and software engineering fundamentals.

📝 Interview Preparation Advice

Technical Preparation

Review Python and Java basics.
Study PyTorch and large model frameworks.
Practice NLP algorithms like Transformer and BERT.
Understand model tuning and application development.

Behavioral Questions

Describe team collaboration experience.
Explain problem-solving methods in projects.
Discuss challenges faced in team settings.
Share communication strategies with colleagues.

Frequently Asked Questions