Senior ML/AI Researcher II - ML and AI modeling

Overview: - Senior ML/AI Researcher II role at Aledade to develop ML and AI solutions for health improvement. - Collaborate with engineering and analytics teams to integrate AI into products and workflows. - Work with extensive medical data sets for training, fine-tuning, and using AI models. Key Responsibilities: - Train and fine-tune ML/AI models using various techniques. - Conduct complex data analysis and data harvesting. - Deliver POC solutions addressing speed, scalability, and time-to-market. Requirements/Skills/Qualifications: - BA/BTech in Statistics, Data Science, Computer Science or related field. - 6+ years of statistical analysis experience. - 6+ years of machine learning experience with modeling, tuning, engineering, and validation. - Understanding of causal inference and treatment effects estimation. - 3-5 years of experience with ML tools and frameworks for large-scale projects. - 2+ years of Python experience. - 1+ years of deep learning and LLM experience. - Experience with large-scale distributed systems and statistical software. - Addressing challenges from incomplete, unrepresentative, and mislabeled data. - Contributions to the field (publications, patents, large-scale implementations). - Master's degree or equivalent practical experience in quantitative disciplines. - Knowledge of Public Health, Value-Based Care, and health-tech systems. - Proficiency in communicating analysis to non-disciplinary audiences. - Experience with data security and handling sensitive data. - Experience with statistical software (R, SAS, Python packages). - Demonstrated leadership and self-direction. - Publications at peer-reviewed conferences and participation in data challenges. Compensation & Benefits: - Not specified in the provided text. Physical Requirements: - Sitting for prolonged periods. - Extensive computer and keyboard use. - Occasional walking and lifting.