Machine Learning Engineer

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 tools or cloud platforms. These trainee roles are offered in collaboration with Sajix’s __init__py program—a structured, hands-on learning initiative aimed at nurturing the next generation of full-stack developers and technology professionals. The program offers tiered training tracks. Participants gain real-world experience through live projects, personalized mentorship, and exposure to industry-relevant tools and practices. This collaboration ensures that trainees are well-equipped with practical skills and knowledge to excel in their roles. For more information about the __init__py program, visit initpy.sajix.com. Sajix Inc. is a global health-tech company headquartered in Pleasanton, California, focused on transforming healthcare delivery through