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Big Data • Healthtech • HR Tech • Machine Learning • Software • Telehealth • Big Data Analytics
Build and ship production algorithmic systems for healthcare, including machine learning, optimization, heuristics, and expert systems. Responsibilities include framing complex problems, defining objectives and metrics, validating solutions, deploying models, iterating based on outcomes, reviewing code and analyses, and communicating findings to stakeholders. Example projects include provider tiering optimization and member engagement models using claims and behavioral data.
Big Data • Healthtech • HR Tech • Machine Learning • Software • Telehealth • Big Data Analytics
Own the reliability, performance, observability, and cost-efficiency of production machine learning systems. Architect Garner’s ML platform, including feature stores, model registries, model-serving infrastructure, and CI/CD pipelines. Establish automated data-quality, model-validation, drift-monitoring, and incident-response processes. Set technical direction, develop platform standards and KPIs, and prepare for future continuous-training capabilities while collaborating with ML, data, platform, and product engineering teams.
Big Data • Healthtech • HR Tech • Machine Learning • Software • Telehealth • Big Data Analytics
Leads Garner’s Data Platform Engineering team, overseeing scalable healthcare data infrastructure, pipelines, abstractions, and distributed processing systems. Provides hands-on architectural guidance, establishes engineering standards, translates business requirements into technical roadmaps, and promotes AI-native development practices. The role includes hiring, mentoring, stakeholder management, design reviews, root cause analysis, and operational excellence while supporting rapid enterprise data growth.
