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- Collaborate with AI engineers to support the development and deployment of end-to-end AI models for AI PCs.
- Transform and prepare data for AI model training and inference.
- Optimize data structures to enhance the performance and accuracy of AI models. Troubleshoot and resolve data-related issues.
- Maintain and manage databases and data pipelines and ensure data integrity and quality through regular monitoring and maintenance.
- Stay updated with the latest industry trends and technologies in data engineering and AI.
- 3+ years of related experience in data engineering and programming.
- Solid understanding of machine learning, deep learning, data science, and data engineering concepts.
- Strong programming skills in languages like Python, Java, or C++. Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud)
- Experience with data pipeline and workflow management tools.
- Familiarity with big data tools (e.g., Hadoop, Spark). Proficiency in data visualization tools (e.g., Matplotlib, Seaborn, Tableau, Power BI).
- Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
- Knowledge of AI model optimization and quantization techniques. Familiarity with data preprocessing, feature engineering, and model evaluation.
- Experience with machine learning frameworks such as TensorFlow or PyTorch.
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