Intern_AI Development Engineer
招聘时间
即日起 至 2026-12-31
招聘单位
梅赛德斯-奔驰
所在地区
北京
工作地点
北京市/北京市/朝阳区
学历要求
本科
实习时长
每周5天，每天6小时
职责描述
[6 months, 4-5 days/week]
Name of Project:
Enterprise AI Development & Intelligent Solutions 人工智能开发实习生
Objectives:
• Develop data-driven and AI-powered solutions to improve organizational efficiency and customer experience.
• Support rapid prototyping and scalable AI applications in enterprise scenarios.
Main Tasks:
• 25%: Develop and deploy AI models for enterprise applications, including predictive analytics, intelligent automation and decision support.
• 25%: Build AI-powered assistants such as internal copilots or chatbots to streamline workflows.
• 25%: Integrate AI solutions into existing enterprise software with engineers and business stakeholders.
• 15%: Document methodologies, model performance, business impact and code.
• 10%: Explore emerging AI technologies for enterprise business challenges.
Learning Opportunities:
• Apply AI to real-world aftersales logistics IT rollout and process optimization projects.
• Learn from AI and automotive experts in a diverse, collaborative environment.
• Gain hands-on experience with cutting-edge AI technologies and cross-functional collaboration.
Key Qualifications:
• Understanding of machine learning, statistics, data analysis, software development, data structures and algorithms.
• Proficient in at least one programming language, preferably Python, with Pandas/NumPy experience.
• Experience with AI agents, prompt design, tool integration or orchestration frameworks.
• LLM applications, RAG, embeddings, prompt engineering, fine-tuning, LangChain, Dify or Hugging Face experience is preferred.
• TypeScript/Node.js, cloud platforms, Java/Scala or personal AI projects are a plus.
Language:
Chinese: Proficient
English: Proficient
Education:
Bachelor's degree or above in Computer Science, AI, Machine Learning, Data Science, Electrical Engineering, IT, or a related field.
Name of Project:
Enterprise AI Development & Intelligent Solutions 人工智能开发实习生
Objectives:
• Develop data-driven and AI-powered solutions to improve organizational efficiency and customer experience.
• Support rapid prototyping and scalable AI applications in enterprise scenarios.
Main Tasks:
• 25%: Develop and deploy AI models for enterprise applications, including predictive analytics, intelligent automation and decision support.
• 25%: Build AI-powered assistants such as internal copilots or chatbots to streamline workflows.
• 25%: Integrate AI solutions into existing enterprise software with engineers and business stakeholders.
• 15%: Document methodologies, model performance, business impact and code.
• 10%: Explore emerging AI technologies for enterprise business challenges.
Learning Opportunities:
• Apply AI to real-world aftersales logistics IT rollout and process optimization projects.
• Learn from AI and automotive experts in a diverse, collaborative environment.
• Gain hands-on experience with cutting-edge AI technologies and cross-functional collaboration.
Key Qualifications:
• Understanding of machine learning, statistics, data analysis, software development, data structures and algorithms.
• Proficient in at least one programming language, preferably Python, with Pandas/NumPy experience.
• Experience with AI agents, prompt design, tool integration or orchestration frameworks.
• LLM applications, RAG, embeddings, prompt engineering, fine-tuning, LangChain, Dify or Hugging Face experience is preferred.
• TypeScript/Node.js, cloud platforms, Java/Scala or personal AI projects are a plus.
Language:
Chinese: Proficient
English: Proficient
Education:
Bachelor's degree or above in Computer Science, AI, Machine Learning, Data Science, Electrical Engineering, IT, or a related field.
