1. algorithm engineer conducts research on frontier algorithms related to artificial intelligence, including the application of machine learning, knowledge application and intelligent decision-making. Taking the process of machine learning as an example, it involves data acquisition, data collation, algorithm design, algorithm training, algorithm verification, algorithm application and other steps, so the algorithm is the focus of machine learning development.
Second, business development experts (artificial intelligence direction) based on the company's AI development strategy, expand foreign cooperation in image recognition, voice processing, video processing, data intelligence, augmented reality, intelligent customer service and other technologies to ensure the realization of basic business development goals; Collect, sort out and digest information about cutting-edge technologies (big data, artificial intelligence, smart cities, cloud computing, etc.). ), and analyze the related development direction and technical trends to form an analysis report; Assist in market expansion and project implementation, and provide professional technical support for customers or related business activities.
The third is the artificial intelligence operation and maintenance engineer, responsible for the operation of big data and AI products, and the research and development of operation and maintenance products; Responsible for the development and construction of the operation and maintenance tool system of related components, ensure the stability of product quality, and improve the robustness and usability of components through technical means and process system. Provide customer support for big data and AI cloud products.
Fourth, the research and development direction of intelligent robots R&D engineers are mainly engaged in the development of robot control systems and the design and development of high-precision devices. The integration direction of industrial robot system mainly includes workstation design, electrical design, device selection, robot debugging, programming and maintenance.
5.Java Senior Architect (Artificial Intelligence) is responsible for system architecture design, scene-oriented solutions for industry customers, and the competitiveness and business objectives of the solutions; Technology sharing, transfer the sales skills of artificial intelligence products/solutions to the sales team, and support the pre-sales work of key projects; Through industry trend/market analysis, customer analysis, competition analysis, etc. , formulate business plans related to artificial intelligence, and manage the plans end to end.
6.NLP application engineers include but are not limited to intelligent response module and user behavior prediction module, and hundreds of millions of drivers and passengers of service companies provide them with a good artificial intelligence experience. Using machine learning NLP technology, the functions of text classification and hot issue analysis are completed and optimized to provide data support for the company's strategic decision. Responsible for the acquisition of intelligent platform corpus, including internet/logs, etc. And make corresponding analysis, classification/clustering to explore the potential value of the data. The above is the job sharing of six artificial intelligence majors. At present, the artificial intelligence industry has broad employment prospects and high average salary, but it is also accompanied by problems such as great difficulty and pressure. Students majoring in artificial intelligence need to constantly enhance their professional ability and anti-pressure ability in order to play their greatest value in the artificial intelligence industry.