
51 - 200 employees
🏥 Healthcare
🤖 Artificial Intelligence
🤝 B2B
Healthcare • Artificial Intelligence • B2B
Sajix Inc is an IT products and services company (founded 2006) that builds AI-driven software and delivers digital transformation and product engineering services. The company markets AI-Based Revenue Cycle Management (AI-RCM) and IntelliHealth OCR for healthcare providers, AI chatbots (NIVISH), and other automation and predictive-analytics capabilities (NLP, smart workflow optimization). Sajix also offers product engineering (DevOps, CI/CD, Kubernetes, microservices), digital-transformation consulting, small-hospital solutions, testing services, and a training program (__init__py). The firm serves enterprise/B2B clients across multiple countries and cites 35+ clients and 3. 5M+ managed records; headquarters listed in Pleasanton, California.
🔥 1 minute ago
Where this job comes from
Posted on Sajix Inc's careers page, not through a job board
First seen by Remote Rocketship 1 minute ago

51 - 200 employees
🏥 Healthcare
🤖 Artificial Intelligence
🤝 B2B
Healthcare • Artificial Intelligence • B2B
Sajix Inc is an IT products and services company (founded 2006) that builds AI-driven software and delivers digital transformation and product engineering services. The company markets AI-Based Revenue Cycle Management (AI-RCM) and IntelliHealth OCR for healthcare providers, AI chatbots (NIVISH), and other automation and predictive-analytics capabilities (NLP, smart workflow optimization). Sajix also offers product engineering (DevOps, CI/CD, Kubernetes, microservices), digital-transformation consulting, small-hospital solutions, testing services, and a training program (__init__py). The firm serves enterprise/B2B clients across multiple countries and cites 35+ clients and 3. 5M+ managed records; headquarters listed in Pleasanton, California.
• Assist in cleaning and preprocessing structured and unstructured data • Support the development of statistical and machine learning models • Participate in exploratory data analysis and feature engineering • Document findings and present insights to non-technical stakeholders
• Bachelor’s or Master’s in Computer Science, Statistics, or Data Science • Basic knowledge of Python/R and libraries like Pandas, Scikit-learn, or NumPy • Understanding of statistics, probability, and machine learning fundamentals
• Structured, hands-on learning initiative through the Sajix __init__py program • Real-world experience through live projects • Personalized mentorship • Exposure to industry-relevant tools and practices
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