
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.
• Support training and deployment of machine learning models • Collaborate with data scientists to implement algorithms in production • Learn about model optimization, testing, and monitoring • Work on real-world healthcare datasets to solve classification and prediction problems
• Bachelor’s/Master’s in Computer Science, Data Science, or related field • Solid programming skills in Python • Understanding of ML algorithms and frameworks like TensorFlow, PyTorch, or Scikit-learn • Bonus: Exposure to model deployment tools or cloud platforms
• Structured, hands-on learning initiative through the __init__py program • Real-world experience through live projects • Personalized mentorship • Exposure to industry-relevant tools and practices • Tiered training tracks
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