Job Description
**Responsibilities**
Requirement Analysis: Partner with product and business teams to translate ambiguous business needs into well-defined ML problems through data-driven statistical analysis.
Exploratory Data Analysis (EDA): Perform in-depth exploratory analysis on large-scale datasets to understand data distributions, identify patterns and anomalies, and present findings using clear, insightful visualizations.
Data Insights & Feature Engineering: Analyze and extract key signals from massive datasets, engineer high-quality features, and collaborate with labeling teams to curate accurate ground-truth data.
Model Development & Optimization: Design, train, validate, and optimize machine learning and deep learning models (e.g., for image and text processing) to deliver high-performing, production-ready solutions.
Production Deployment:
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