Machine Learning Engineer
Job Description
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.