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  • ai engineer
    global future leaders
    算法类
    北京
    you will join lenovo global future leaders program in global it organization. as an ai engineer, this role is required to analyze indicators from the massive data flow of customers, excavate values, and solve practical problems through advanced artificial intelligence products and technologies.it is necessary to face the business needs of different business value chains, transform complex business problems into technical problems, and finally solve customer needs through data analysis and mining, using ai intelligent products and current advanced solutions, so as to generate better business decisions and values.in addition, by working with the product technology team to jointly build ai products, explore and create endogenous and external opportunities to create greater value for the company.
    main responsibilities include:
    1. responsible for data mining, analysis and modeling under big data scenarios
    2. provide solutions for the industry with machine learning product technology
    3. communicate business requirements, define mining analysis or modeling prediction targets
    4. conduct basic statistical analysis and advanced analysis using various data analysis tools
    5. develop advanced machine learning and deep learning models using advanced artificial intelligence tools
    6. cooperate with other technical and business teams to develop more complete solutions and applications
    7. interpret and record the results of data analysis or machine learning models and effectively communicate the information to customers
    8. constantly learn and master the cutting-edge technology in the field of artificial intelligence, and share the technology within the team
    9. grasp the technical direction and form reusable technical solutions on this basis


    position requirements:
    1. computer science or a related education background - pre-requisite computer, statistics, algorithms, machine learning and mathematics skills required for data science
    2. experience in data modeling, master sql, able to manipulate large amounts of data for analysis
    3. proficient in various statistical machine learning models, including classification, regression, clustering, recommendation models, such as linear regression, logistic regression, decision tree, k-means, apriori, etc
    4. good command of integrated learning models and tools, such as random forest, xgboost, light gbm, etc
    5. familiar with the basic principles of deep learning, master mlp/cnn/rnn model, understand natural language processing and computer vision
    6. good communication skills, able to understand customer needs and present the results of analysis and modeling to customers
    7. ability to learn quickly and work independently
    面试地点: