About Fabric

What you'll do

• Design, develop, and deploy machine learning models for various tasks, including:

  • AI-powered diagnosis engine: Analyze patient data to assist healthcare professionals with accurate diagnoses.

  • Natural Language Processing (NLP): Build sophisticated systems that understand patient intent from their inquiries, leading to improved communication and self-service options.

  • Generative AI: Utilize Large Language Models (LLMs) to generate informative and personalized patient-facing content.

• Collaborate with engineers, researchers, and product managers to define project scope, gather requirements, and ensure successful integration of AI solutions.

• Participate in data exploration, cleaning, feature engineering, and model evaluation.

• Stay up-to-date on the latest advancements in machine learning, NLP, and LLMs relevant to healthcare applications.
  

• Prepare clear and concise documentation for technical and non-technical audiences.
  

Qualifications

• Master's degree in Computer Science, Statistics, Machine Learning, or a related field (PhD preferred).

• Proven experience in applying machine learning techniques to real-world problems.

• Hands-on with model evaluation

• In-depth knowledge of NLP concepts and techniques, including text preprocessing, sentiment analysis, and intent recognition.

• Familiarity with LLM architectures and experience in fine-tuning or developing LLM-based applications (a plus).

• Strong programming skills in Python, with proficiency in libraries like TensorFlow, PyTorch, Scikit-learn, and spaCy.

• Excellent communication, collaboration, and problem-solving skills.