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Machine Learning Engineer

Fine-tune RaeLLM™ to enhance medical document understanding and improve patient referral processes.
New York
Mid-Level
4 weeks ago

✨ About The Role

- The Machine Learning Engineer will be responsible for end-to-end product development, including architecting, training, deploying, and monitoring models. - Data processing and ML Ops will be a key focus, optimizing scalable data processing pipelines and maintaining machine learning infrastructure. - The role involves backend integration, designing and maintaining complex workflows that leverage machine learning for automation. - Collaboration with sales and customer success teams is necessary to respond to customer feedback and improve product offerings. - Fine-tuning custom models for medical document understanding tasks will be a significant part of the job.

⚡ Requirements

- The ideal candidate will have at least 3 years of experience in a machine learning research or engineering role. - A proven track record of building and maintaining scalable web applications is essential, particularly in high-volume workflow automation and data processing. - Candidates should be able to efficiently translate open-ended problems into actionable solutions. - Familiarity with novel NLP research ideas and techniques is important, and prior publications in top conference journals would be a plus. - Experience in a startup environment is also advantageous, indicating adaptability and a proactive approach to challenges.
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Machine Learning Engineer
New York
Engineering
About Tennr
Custom LLMs for Business