Job Description

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Involves in Designing and Overseeing the overall architecture of ML systems, including data pipelines, model selection, deployment strategies, and ensuring scalability and performance.
Require a strong understanding of AI algorithms, data engineering, and software architecture, while collaborating with cross-functional teams to translate business needs into effective ML solutions.
Define the overall architecture of ML systems, considering data ingestion, preprocessing, feature engineering, model training, evaluation, and deployment pipelines.
Evaluate and select appropriate ML algorithms based on data characteristics and business objectives.
Design and implement data pipelines for data collection, cleaning, transformation, and feature engineering.
Ensure ML systems can handle large volumes of data and deliver efficient predictions.

Skills Required