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Senior ML Engineer - Computer Vision (Dallas)
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El puesto
Design, develop, and deploy advanced computer vision models for tasks such as object detection, image segmentation, facial recognition, and image generation.
Build and optimize deep learning architectures and robust ML pipelines covering data preprocessing, feature engineering, model training, evaluation, and deployment.
Collaborate with software engineers to integrate ML models into production systems, ensuring reliability and scalability in a fast-paced environment.
Stay current with CV and ML research, experiment with new techniques, and analyze large visual datasets to drive performance improvements.
Deliver clean, well-documented Python code, participate in code reviews, and mentor junior engineers while contributing to ML engineering best practices.
Translate product requirements into technical solutions, communicate with stakeholders, and drive end-to-end ML projects from prototype to production.
Build and optimize deep learning architectures and robust ML pipelines covering data preprocessing, feature engineering, model training, evaluation, and deployment.
Collaborate with software engineers to integrate ML models into production systems, ensuring reliability and scalability in a fast-paced environment.
Stay current with CV and ML research, experiment with new techniques, and analyze large visual datasets to drive performance improvements.
Deliver clean, well-documented Python code, participate in code reviews, and mentor junior engineers while contributing to ML engineering best practices.
Translate product requirements into technical solutions, communicate with stakeholders, and drive end-to-end ML projects from prototype to production.
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