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About
Key Responsibilities: • Develop innovative NLP solutions using knowledge bases, symbolic AI, and large language models for medical chart analysis. • Work collaboratively with data scientists, ML engineers, data engineers, and software developers to integrate NLP systems into our production environment. • Stay updated with the latest advancements in NLP, especially large language models, to enhance our data processing capabilities. • Utilize tools like Python, PyTorch, and Transformers for model development and optimization. • Analyze extensive data sets to extract key medical insights, contributing to the efficiency of insurance processes. • Ensure compliance with data privacy standards and healthcare regulations.
Qualifications: • Master's in Computer Science, Data Science, Computational Linguistics, or a related field. At least 5 years of experience. • Proven experience in NLP, especially with hybrid methods involving knowledge bases, symbolic AI, and large language models. • Experience in Python, PyTorch, Transformers, and other relevant deep learning technologies. • Familiarity with medical terminologies and proficiency in information extraction from medical charts. • Excellent analytical, problem-solving, and teamwork skills.
Skill (Primary):
Quality Management Skills (ERS)-Techniques-Data Science
Nice-to-have skills
- Deep Learning
- Machine Learning
- PyTorch
- Python
Work experience
- NLP
- Data Scientist
Languages
- English
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