About this role
We are Lenovo. We do what we say. We own what we do. We WOW our customers.
Lenovo is a US$83 billion revenue global technology powerhouse, ranked #153 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 (https://www.lenovo.com), and read about the latest news via our StoryHub (https://news.lenovo.com/).
Job Responsibilities
Research and Development :
- Conduct research on cutting-edge AI technologies and algorithms.
- Develop and implement AI models and applications using machine learning and deep learning techniques.
- Collaborate with the team to enhance the performance and efficiency of AI systems.
Data Analysis and Processing :
- Analyze and preprocess large datasets to ensure data quality and relevance for AI models.
- Utilize data visualization tools to gain insights and inform model development.
Collaboration and Communication :
- Work closely with cross-functional teams, including data scientists, engineers, and product managers, to understand project requirements and deliver solutions.
- Communicate technical concepts and progress updates effectively to both technical and non-technical stakeholders.
Continuous Learning and Innovation :
- Stay updated with the latest advancements in AI and related technologies.
- Contribute to the development of new ideas and approaches to solve complex problems.
Requirements:
Education :
- Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
- Strong academic performance with a focus on relevant coursework and projects.
Technical Skills :
- Proficiency in programming languages such as Python, Java, or C++.
- Knowledge of machine learning and deep learning frameworks (e.g., TensorFlow, PyTorch).
- Experience with data processing and analysis tools (e.g., NumPy, Pandas, SQL).
Problem-Solving Abilities :
- Ability to analyze complex problems and develop innovative solutions.
- Strong analytical and critical thinking skills.
Communication and Teamwork :
- Excellent communication skills to articulate technical concepts clearly.
- Ability to work effectively in a team environment and contribute to collaborative projects.
Passion for AI and Technology :
- Genuine interest in AI and its applications.
- Enthusiasm for learning and staying abreast of new technologies and industry trends.