General Information

Req #
Career area:
Artificial Intelligence
Tuesday, June 29, 2021

Why Work at Lenovo

Here at Lenovo, we believe in smarter technology for all, so we spend our time building a society that’s brighter and more inclusive. 

And we go big. No, not big—huge.

We’re not just a Fortune 500 company, we’re one of Fortune’s Most Admired. We’re in 180 countries, working with 63,000 brilliant colleagues and counting. And we’re known for the world’s most complete portfolio of smart technology, from devices to software to infrastructure.

With our ingenuity, we help millions—not just the select few—experience our version of a smarter future. 

The one thing that’s missing? Well… you...

Description and Requirements

The world is our stage, the sky is the limit. At Lenovo we believe smarter technology takes a global mindset with trust and respect for one another, enabling us to do exciting and rewarding work that intelligently transforms our world. We are recognized as one of the World's Most Admired & Best Regarded Companies, a Top 100 Global Tech Leader, and rank #224 on the Fortune Global 500. This is a place where ideas grow, initiative wins, achievements are seen, and we love the work we get to do.

Lenovo is proud to offer our Global Future Leaders Program to the best and brightest graduates globally. This program engages high-achieving, driven students by immersing them in the world of a global technology company. In your first two years, you will be able to participate in cross-organization/cross-border rotations where you will transform and grow while engaging with key stakeholders, gaining deep insight into our organization, and developing comprehensive leadership skills as well as technical capabilities while making a global impact. Through customized training, networking, and development initiatives, our goal is to fast-track your growth and support your development to achieve a leadership role by year five.

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 and work contents;

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

Skills required:

- Computer science or related education background - Pre-requisite computer, statistics, algorithms, machine learning and mathematics skills required for data science

- Experience in data modeling, master SQL, able to manipulate large amounts of data for analysis

- 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

- Good command of integrated learning models and tools, such as Random Forest, XGBoost, Light GBM, etc

- Familiar with the basic principles of deep learning, master MLP/CNN/RNN model, understand natural language processing and computer vision

- Good communication skills, able to understand customer needs and present the results of analysis and modeling to customers

- Ability to learn quickly and work independently
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any federal, state, or local protected class.