1. Automate data curation workflows using ML techniques.
2. Develop and deploy models for data cleaning, validation, and standardization.
3. Lead ML solution design, experimentation, and performance evaluation.
4. Collaborate with engineering teams to scale AI/ML pipelines in cloud environments.
Role Responsibilities:
1. Drive AI/ML initiatives to reduce manual data processing.
2. Conduct exploratory data analysis for feature engineering and insights.
3. Implement deep learning models using contemporary frameworks.
4. Mentor team members and promote data science best practices.
Skills: Tensorflow, Data Processing, Azure, Python