Director of Artificial Intelligence

Gaoce is a public list company in China , has always focused on the cutting field of high hard and brittle materials, and established the capability in R&D of "Cutting equipment, cutting consumables, and cutting process". in the horizontal field, the company has transferred the capability in R&D to scenarios of more high-hard & brittle materials, including the expansion in R&D from photovoltaic silicon material cutting to diamond wire cutting technology in semiconductor, sapphire, magnetic materials, and silicon carbide fields, the company launched the cutting devices and cutting consumables first in the industry, and has made expansion and strengthening accordingly. in the vertical field, the company had worked deeply for the cutting equipment, cutting consumables, and cutting services in industrial application, and improved the competitiveness of products continuously via closed-loop R&D technology in "Cutting equipment + cutting consumables + cutting process.

web : https://en.gaoce.cc/

Artificial Intelligence Expert (AI)

Key Behavioral Actions (Main Responsibilities)

In depth research on manufacturing scenarios, the application of AIGC technology in various scenarios of the manufacturing value chain, responsible for leading AI technology (big models, AI development platforms, etc.) architecture planning and path building: exploring cutting-edge AI technologies in the industry, such as multi-modal big models, intelligent agent technology, etc., to continuously enhance product AI capabilities; 3.4 Participate in the value output of products and be responsible for writing AI related product solutions.

Age: 30-40 years old with a bachelor's degree or above,

Education: Major in Computer Artificial Intelligence, with over 5 years of work experience and over 3 years of work experience in AI related fields

Job experience requirements

1. With overseas work background, English can be used as the working language.

2. Have years of experience in machine learning algorithms related to the manufacturing industry,

3. Experience in IoT, machine vision, and deep learning algorithms.

4. Have a deep understanding of generative AI and have preliminary examples of its practical application in enterprises to solve real-world problems;

5. Familiar with the principles, applications, and development trends of Artificial Intelligence Generated Content (AIGC) technology, including natural language processing, machine learning, deep learning, etc

Project experience requirements:

Priority should be given to establishing a company level digital system and a mechanism for cultivating digital talents;

Skill requirements:

1. Have practical experience in knowledge base, agent, Langchain and other technologies, and proficiently master these tools:

2. Possess good programming skills, familiar with at least one programming language such as Python, Java, etc., able to develop algorithms and process data

3. Possess the ability to plan and develop artificial intelligence algorithm models, and be able to guide teams in completing intelligent algorithm design and research and development.

Quality and ability requirements:

1. Business thinking, result oriented:

2. Smart and flexible, strong ability to withstand pressure, strong self drive and ambition, able to adapt to fast-paced work

3. Possess good organizational and coordination skills, as well as strong communication abilities.

155/10000

实时翻译

155/10000 real-time translation algorithm: Business scenario: Cutting yield of steel wire end: 1. Industrial big data related, statistical related, logistic regression, neural networks; 2. Image correlation, image algorithms, small object recognition and detection - visual and depth analysis 3. PHM system, energy and fault prediction run through the entire lifecycle of equipment, fault diagnosis, with the goal of achieving workshop level and dual wave analysis. Algorithm for translating industrial camera related, sensor related, hardware oriented underlying IoT devices: Business scenario: Cutting yield rateSteel wire end: 1 Industrial big data related, statistical related, logistic regression, neural networks;2. Image related, image algorithms, small object recognition and detection - visual and depth analysis3. PHM system, energy and fault prediction throughout the entire lifecycle of equipment, fault diagnosis, with the goal of achieving workshop level, two wave analysis,4. Industrial camera related, a large number of sensor related, hardware oriented, underlying IoT devices

Algorithm:

Business scenario: Cutting yield rate

Steel wire end:

1. Industrial big data related, statistical related, logistic regression, neural networks;

2. Image related, image algorithms, small object recognition and detection - visual and depth analysis

3. PHM system, energy and fault prediction throughout the entire lifecycle of equipment, fault diagnosis, with the goal of achieving workshop level, two wave analysis,

4. Industrial camera related, a large number of sensor related, hardware oriented, underlying IoT devices