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Staff Data Engineer, Applied Machine Learning - Remote Eligible

Lead the development of machine learning models to optimize healthcare revenue cycle management.
Remote
Senior
$170,000 - 220,000 USD / year
2 weeks ago
Red Cell

Red Cell

Building and investing in rapidly scalable technology-led companies

Job is no longer active
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✨ About The Role

- The Staff Data Engineer will lead the team in architecting, building, and optimizing machine learning systems for healthcare applications. - Responsibilities include designing and implementing training pipelines for machine learning models to ensure efficiency and scalability. - The role involves fine-tuning machine learning models to meet specific healthcare needs and developing feedback mechanisms for continuous improvement. - Collaboration with cross-functional teams is essential to translate healthcare business requirements into actionable machine learning solutions. - The position requires staying updated with the latest advancements in machine learning and healthcare technology to enhance the ML infrastructure.

âš¡ Requirements

- The ideal candidate has proven experience in a leadership role focused on machine learning system development, particularly in healthcare or related fields. - A strong background in training machine learning models and building robust training pipelines is essential for success in this role. - The candidate should possess a deep understanding of machine learning frameworks such as TensorFlow or PyTorch, with practical applications in healthcare. - Proficiency in programming languages like Python or Go is required, along with the ability to write efficient and maintainable code. - Excellent communication skills are necessary to convey complex technical concepts to both technical and non-technical stakeholders in healthcare settings.
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Staff Data Engineer, Applied Machine Learning - Remote Eligible
Remote
$170,000 - 220,000 USD / year
Software
Job is no longer active
About Red Cell
Building and investing in rapidly scalable technology-led companies