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About the Job：
Your responsibilities will include one or more of the following:
● Design, build, and maintain scalable and efficient data pipelines for collecting,
processing, and storing large volumes of structured and unstructured data,
specifically image and video streams and relevant metadata.
● Develop and integrate tools for data labeling and annotation, ensuring high-quality
training datasets for deep learning and computer vision models.
● Collaborate with data scientists and machine learning engineers to build and
optimize the infrastructure required for training and evaluating deep learning
models at scale.
● Build and maintain CI/CD pipelines to seamlessly deploy machine learning models
into production environments.
About You：
Minimum Qualifications
● Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
● 5+ years of experience in data engineering, full-stack and/or infrastructure
development.
● Proven experience with building and maintaining large-scale data pipelines