Senior AI/Machine Learning, Citizen Health

• 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
• Strong software engineering skills and coding best practices

Desirable

• We're seeking a Senior Machine Learning Engineer to lead the development and deployment of cutting-edge AI solutions that power our 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
• As a key technical leader, you'll be at the forefront of applying advanced machine learning techniques to solve challenging problems in rare disease research and patient care. Your work will be instrumental in developing AI-driven solutions that improve disease understanding, treatment recommendations, and patient outcomes
• 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
• Lead research initiatives to explore and implement state-of-the-art AI/ML techniques
• Collaborate with clinical experts to validate model outputs and ensure medical accuracy
• Stay current with the latest developments in AI/ML, particularly in healthcare applications