Machine Learning Engineer

Sajix Inc. is a global health-tech company headquartered in Pleasanton, California, focused on transforming healthcare delivery through advanced digital solutions. Since its founding in 2006, Sajix has specialized in developing integrated healthcare information systems that streamline clinical, financial, and administrative operations for healthcare organizations around the world. With operations in the United States, United Kingdom, Singapore, and India, Sajix serves clients across North America, Europe, Asia, and Africa. Its flagship platform, iHelix , is a modular, scalable solution designed for use in diverse healthcare settings—from single-doctor practices to large hospital networks. Sajix offers a comprehensive suite of digital healthcare solutions, including: iHelix Lifeeazy AI-based Revenue Cycle Management – optimizing financial workflows through automation All products are built with global standards in mind, supporting multiple languages and currencies, and comply with international healthcare regulations such as CCR and CCD. Through strategic partnerships and a commitment to innovation, Sajix continues to lead the industry in delivering intelligent, interoperable, and patient-centric healthcare solutions. Website: www.sajix.com About the Role: Join Sajix as a Machine Learning Engineer Trainee to assist in building and deploying ML models that enhance our healthcare intelligence platform and improve clinical outcomes. Key Responsibilities: 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. Requirements: 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