Education:Doctor
Release date:24-11-19 00.00.00
Salary:50-80K
Work experience :3-5 years
City:Shenzhen, Guangdong Province
Categories: Chips, Electronic Components and Equipment, Information Technology
First-level areas:Information Technology
First-level areas:Chips, Electronic Components and Equipment
Source:Social Recruitment
Job description :
**Job Description.**
As our senior algorithm engineer, you will be responsible for the following tasks.
-Design, develop, and implement adaptive learning algorithms for machine equipment to optimize equipment performance and improve production efficiency.
-Apply machine learning and data mining techniques to analyze and process large amounts of device data, and construct predictive maintenance models.
-Collaborate with cross departmental teams to integrate algorithm solutions into product development and business processes.
-Track the latest research progress in machine learning and adaptive algorithms, and apply innovative technologies to solve practical problems.
-Guide and train junior engineers to enhance the overall technical level of the team.
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**Basic requirements.**
-Hold a doctoral degree in computer science, electronic engineering, automation, or related fields.
-At least 5 years of work experience in machine learning, data mining, or related fields.
-Proficient in at least one deep learning framework (such as TensorFlow, Keras, PyTorch).
-Proficient in programming languages such as Python, R, Java, or C++.
-Experience in applying machine learning algorithms to practical engineering projects.
-Strong analytical skills and problem-solving abilities.
-Good teamwork spirit and leadership skills.
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**Priority consideration.**
-Have practical project experience in the field of adaptive learning algorithms for machine equipment.
-Published research papers or holds patents in related fields.
Please send your CV or resume as an attachment to the following email address:
mailto: rbhr@hrcenter.co.uk
With the subject line formatted as: ‘Name + Position + Company Name + Location’.