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Open nowPosted 1144 days ago

智能制造专家

li/referral788 open roles

Where
Beijing, Chinese Mainland
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Your applicationOpen now智能制造专家li/referral · Beijing, Chinese Mainland

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on li/referral's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

12.1% of postings close within 7 days. Measured by our own scanner across the market. li/referral postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: posted 1144 days ago

li/referral median: 1 days open

The posting

1. 搭建完善的理想汽车智能制造相关政策、体系、标准； 2. 从数据驱动的角度实现对自动化生产线的整体及局部设计、规划和优化，实现生产过程的高度自动化和智能化； 3. 运用人工智能和机器学习技术，实现生产设备的自我学习和自我优化，提高设备效率和质量； 4. 通过物联网技术，实现设备的实时监控和预测性维护，减少设备故障和停机时间； 5. 开发和应用先进的数据分析工具和模型，对生产数据进行深度挖掘和分析，为生产决策提供数据支持； 6. 与研发、生产、质量、采购、物流、企业系统等部门密切合作，协调内部资源，确保项目的顺利实施和效果达成； 7. 领导和培养团队，提高团队的专业技能和创新能力，形成强大的技术竞争力； 8. 追踪和研究全球智能制造的最新技术和发展趋势，引入适合公司的新技术和方法； 9. 与全球技术供应商进行合作，引入最先进的设备和解决方案，提升公司的技术水平和竞争力。

1. 至少有一个智能制造场景从规划到落地的成功实践； 2. 拥有机械工程、电气工程、自动化、计算机科学或相关领域的硕士以上学历； 3. 至少10年的智能制造或相关领域的工作经验，熟悉自动化设备、机器人技术、物联网、大数据和人工智能等技术； 4. 具有丰富的智能制造项目管理经验，能独立领导并完成项目； 5. 熟练运用数据分析和机器学习工具，能处理大规模的生产数据，进行深度挖掘和分析； 6. 具有出色的团队领导和管理能力，能提升团队的效率和创新力； 7. 具有良好的沟通和协调能力，能处理内外部的关系，确保项目的顺利推进； 8. 持续关注智能制造和相关领域的最新技术和发展趋势，有将新技术应用于实践的能力； 9. 熟练的英语听说读写能力，能进行高效的跨文化沟通； 10. 熟悉工业互联网的诸多系统，如MES， SAP，SCADA等。

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  2. 25 readers review it

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    The review screen in CV Rocket: how each CV was read, round by round.

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    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

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    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

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  6. The interview in your calendar

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    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
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3×

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  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

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