Lenovo

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.

Research & Innovation:

• Stay current with the latest AI technologies, tools, and frameworks.
• Experiment with innovative AI approaches to solve real-world business challenges.

Collaboration:

• 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.