1. Design, implement, and optimize machine learning models across various domains (e.g., SCM, Manufacturing, Product Management) following the Cross-Industry Standard Process for Data Mining (CRISP-DM) process.
2. Train, fine-tune, and optimize deep learning models for diverse applications while handling large-scale datasets for preprocessing and transformation.
3. Build and maintain robust data pipelines for AI applications, collaborating with data engineers to optimize infrastructure for efficient ML processing and deployment.
4. Deploy, monitor, and optimize machine learning models in production environments, ensuring scalability and performance.
5. Implement data security measures such as encryption, access controls, and sensitivity labels to safeguard data privacy and integrity.
6. Provide training sessions, share best practices with internal teams, communicate analytical results effectively to business stakeholders, and stay updated with the latest trends and advancements in data science and AI.
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