Job Overview

responsibilities

• develop, implement, and maintain data-intensive applications using python and related libraries.
• design, build and deploy enterprise-grade applications.
• design and build restful apis for data ingestion, transformation, and model serving.
• create and deploy machine learning models (e.g., regression, classification, clustering) into production environments.
• develop and maintain data pipelines for data extraction, transformation, and loading (etl).
• collaborate with data scientists and engineers to translate research prototypes into production-ready systems.
• write clean, maintainable, and well-documented code.
• participate in code reviews and contribute to the overall code quality of the project.
• troubleshoot and debug complex technical issues.
• stay up to date with the latest advancements in data science, machine learning, and related technologies.