Vi
51 - 200 employees
🏥 Healthcare
💼 Consulting
📦 Logistics
Healthcare • Consulting • Logistics
Vi is a company that leverages artificial intelligence to help health organizations improve member health outcomes and financial returns. The company provides an AI SaaS platform that offers solutions for efficient acquisition, personalized engagement, and predictive retention throughout the member lifecycle. Vi focuses on maximizing acquisition, enrollment, engagement, retention, upsells, and health outcomes with superior ROI. Their platform is designed to lower the cost per acquisition, enhance member engagement and retention, and transform operations with their generative AI technology. Vi works with leading global health enterprises to drive results at scale while ensuring privacy and data security standards are met.
Senior Applied AI/ML Engineer
🕒 September 1
🇺🇸 United States – Remote
⏰ Full Time
🟠 Senior
🤖 Machine Learning Engineer
🦅 H1B Visa Sponsor
👻 Ghost score 20%
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Vi
51 - 200 employees
🏥 Healthcare
💼 Consulting
📦 Logistics
Healthcare • Consulting • Logistics
Vi is a company that leverages artificial intelligence to help health organizations improve member health outcomes and financial returns. The company provides an AI SaaS platform that offers solutions for efficient acquisition, personalized engagement, and predictive retention throughout the member lifecycle. Vi focuses on maximizing acquisition, enrollment, engagement, retention, upsells, and health outcomes with superior ROI. Their platform is designed to lower the cost per acquisition, enhance member engagement and retention, and transform operations with their generative AI technology. Vi works with leading global health enterprises to drive results at scale while ensuring privacy and data security standards are met.
📋 Description
• Own the design and implementation of data and ML pipelines using customer first-party data and Vi’s internal data lakehouse • Prototype predictive insight products and run rapid feasibility studies to assess new commercial opportunities • Identify commonalities between customer engagements to synthesize reusable data capabilities • Build and scale big-data and ML pipelines • Own integrations of customer data with Vi’s data lakehouse • Package Vi’s products into repeatable, scalable, automated pipelines
🎯 Requirements
• Deep expertise building large-scale data analytics pipelines with Apache Spark • Comfortable using Python and AWS technologies for data engineering and ML • Strong communication skills to interact with technical counterparts across customer accounts to coordinate data integrations • Experience in the healthcare and life sciences domain (nice to have) • Familiarity with ML and statistical modeling methodologies and experimental design (nice to have)
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