Lenovo
Job Responsibilities
Data Preparation & Analysis:
Gather, clean, and preprocess datasets for AI model training.
Perform exploratory data analysis to extract meaningful insights.
Implementation & Integration:
Assist in integrating AI models into applications and backend systems.
Develop APIs and pipelines for seamless model deployment.
Research & Innovation:
Stay updated with the latest AI technologies, tools, and frameworks.
Experiment with innovative AI approaches to address business challenges.
Collaboration:
Work closely with cross-functional teams, including data scientists, software engineers, and product managers.
Participate in technical discussions and brainstorming sessions.
Testing & Validation:
Support the testing and validation of AI solutions to ensure reliability and scalability.
Monitor AI model performance and suggest improvements when needed.
Documentation:
Document AI workflows, technical specifications, and deployment processes.
Prepare user manuals and guides for implemented solutions.
Job Requirements：
Experience in data preparation, cleaning, and preprocessing for machine learning or AI applications.
Ability to perform exploratory data analysis and translate findings into meaningful business insights.
Familiarity with integrating AI models into production systems and developing supporting APIs and pipelines.
Knowledge of current AI technologies, tools, and frameworks, with a willingness to experiment with innovative approaches.
Strong collaborative skills with the ability to work effectively in cross-functional team environments.
Competence in testing, validating, and monitoring AI models to ensure performance and scalability.
Proficiency in documenting technical processes and creating user-oriented guidance materials.
