Citizen Health is seeking AI/Machine Learning Engineers to lead the development and deployment of cutting-edge AI solutions that power their patient-centric platform. This role is crucial in designing and implementing sophisticated machine learning models that transform complex health data into actionable insights for patients, healthcare providers, and researchers. Your work will be instrumental in developing AI-driven solutions that improve disease understanding, treatment recommendations, and patient outcomes.
Requirements
- 5+ years of experience in machine learning engineering, with a focus on production ML systems
- 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
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
