Job Information
Lenovo AI engineer in Tianjin, China
AI engineer
General Information
Req #
WD00070743
Career area:
Information Technology
Country/Region:
China
State:
Tianjin
City:
天津（Tianjin）
Date:
Monday, September 2, 2024
Working time:
Full-time
Additional Locations :
- China - Tianjin - 天津（Tianjin）
Why Work at Lenovo
We are Lenovo. We do what we say. We own what we do. We WOW our customers.
Lenovo is a US$57 billion revenue global technology powerhouse, ranked #248 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).
This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com , and read about the latest news via our StoryHub (https://news.lenovo.com/) .
Description and Requirements
Job descriptions:
Predictive Modeling: Design, develop, and optimize predictive models for demand forecasting, risk assessment, and market trend analysis.
Data Analysis: Collect, clean, and analyze data from various sources to extract actionable insights for prediction and decision-making.
Optimization Algorithms: Develop and apply optimization algorithms to improve resource allocation, process efficiency, and cost-effectiveness.
Model Evaluation: Assess the accuracy and performance of models to ensure the reliability of predictions and optimization outcomes.
Cross-Department Collaboration: Work with data science, engineering, and business analysis teams to understand business needs and apply AI solutions to real-world scenarios.
Technical Documentation: Prepare technical documents and reports to clearly articulate model development, algorithm selection, and results analysis.
Continuous Improvement: Stay updated on industry trends and emerging technologies to continually enhance existing models and algorithms for better prediction and optimization.
Additional Locations :
China - Tianjin - 天津（Tianjin）
China
China - Tianjin
China - Tianjin - 天津（Tianjin）