AI Associate Engineer

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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.

Description and Requirements

Key Responsibilities:

Data Preparation & Analysis:

• Assist in gathering, cleaning, and preprocessing datasets for AI model training.
• Perform exploratory data analysis (EDA) to uncover insights and patterns from data.

Implementation & Integration:

• Help integrate AI models into applications and backend systems.
• Contribute to the development of APIs and pipelines for seamless model deployment.
• Stay current with the latest AI technologies, tools, and frameworks.
• Experiment with innovative AI approaches to solve real-world business challenges.
• Collaborate with data scientists, software engineers, and product managers to deliver integrated AI solutions.
• Participate actively in technical discussions, brainstorming sessions, and team meetings.

Testing & Validation:

• Assist in testing and validating AI models to ensure reliability, scalability, and performance.
• Monitor AI model performance and suggest improvements when necessary.

Documentation:

• Document AI workflows, technical specifications, and deployment processes.
• Prepare user manuals and guides for implemented AI solutions.

Requirements:

• A degree in Computer Science Engineering or a related field.
• Strong understanding of machine learning, AI concepts, and data preprocessing techniques.
• Familiarity with programming languages such as Python, R, or Java.
• Knowledge of AI frameworks like TensorFlow, PyTorch, or similar tools is a plus.
• Experience with data manipulation and analysis (using libraries like pandas, NumPy).
• Strong problem-solving skills with attention to detail.
• Ability to collaborate effectively in a multidisciplinary team.
• Excellent communication skills for explaining technical concepts to non-technical stakeholders.
• Willingness to stay up-to-date with the latest trends in AI and machine learning.