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Citizen Health is building a personalized AI advocate powered by patients' complete medical histories and data from thousands of other patients to generate personalized insights for clinical decisions and day-to-day challenges, starting in rare and complex conditions. The company aims to shave years off drug development for much-needed treatments by enabling biopharma and researchers with seamless access to patients and regulatory-grade data.

Requirements

• Strong proficiency in Python and AI/LLM frameworks (LangChain, LangGraph, AutoGen, CrewAI)
• Experience designing and implementing production-grade ML pipelines
• Proven track record of deploying ML/LLM solutions in production environments
• Strong understanding of ML fundamentals, including deep learning, NLP, and statistical modeling
• Experience with ML ops tools and best practices
• Proficiency in working with large-scale datasets and distributed computing
• Strong software engineering skills and coding best practices

Responsibilities

• Design and implement end-to-end machine learning solutions, from data preprocessing to model deployment and monitoring
• Develop and optimize agentic Large Language Models (LLMs) solutions for healthcare applications using techniques like fine-tuning and Retrieval-Augmented Generation (RAG)
• Create robust data pipelines for validation, and deployment
• Implement ML systems that can effectively process and analyze diverse healthcare data types, including structured clinical data, medical imaging, and unstructured text
• Collaborate with backend engineers to integrate ML models into our production infrastructure
• Ensure ML systems meet strict healthcare compliance requirements while maintaining high performance
• Design and implement monitoring systems for model performance, data drift, and system health

Other

• You are a builder and problem solver at heart who loves working in fast-paced, innovative environments.
• You have experience working in consumer technology companies and have also worked on products that deal with complex data and systems.
• You love start-ups and can operate autonomously knowing that collaboration is the key to your success.
• Degree in Computer Science or equivalent degree
• Passion for creating robust, scalable, AI-driven systems that make a real-world impact in healthcare