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.
Product, Design, Engineering
Remote (Portugal)
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