Machine Learning Specialist
2 days ago
About HyrHub
HyrHub is a forward-thinking company that empowers innovation in the healthcare industry through cutting-edge technology.
Salary: $140,000 - $170,000 per year
Job Description:
We are seeking an exceptional Machine Learning Specialist to join our team. As a key member of our NLP department, you will be responsible for designing and implementing AI-powered solutions that drive business value and improve patient outcomes.
Key Responsibilities:
- Develop and deploy NLP models that extract insights from unstructured medical data, including Electronic Health Records (EHRs), medical notes, and laboratory reports.
- Collaborate with cross-functional teams to integrate NLP solutions into existing systems and enhance data analysis capabilities.
- Stay up-to-date with the latest advancements in machine learning and NLP, contributing to the continuous improvement of methodologies and technologies used within the organization.
Required Skills and Qualifications:
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- 4+ years of experience in NLP, with expertise in techniques such as Named Entity Recognition (NER), text summarization, and topic modeling, particularly in healthcare applications.
- Strong foundation in machine learning concepts, including deep learning architectures, natural language processing, and text generation.
- Proficiency in programming languages such as Python, with experience in TensorFlow, PyTorch, and related libraries for model development and deployment.
- Experience working with AWS cloud environments and managing large databases.
- Knowledge of ML lifecycle management using open-source tools like MLflow.
Benefits:
HyrHub offers a comprehensive benefits package, including health insurance, retirement savings plan, paid time off, and opportunities for professional growth and development.
Why Join Us?
At HyrHub, we prioritize collaboration, innovation, and employee satisfaction. If you're passionate about applying machine learning to real-world problems and making a meaningful impact in healthcare, we'd love to hear from you.
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