Machine Learning Engineer

Job Summary

• As a Machine Learning Engineer, you will develop, deploy, and optimise machine learning models that support AI-driven healthcare solutions and improve digital health services.

Responsibilities

• Design, develop, train, and deploy machine learning models to support healthcare applications and personalised digital health solutions.
• Analyse and process large datasets to identify patterns, improve model performance, and generate actionable insights.
• Collaborate with software engineers, data scientists, and healthcare teams to integrate AI models into existing platforms.
• Monitor, evaluate, and optimise model performance, ensuring reliability, scalability, and efficiency.
• Ensure responsible handling of health data, considering data privacy, security, and ethical AI practices.

Requirements

• Bachelor’s or Master’s Degree in Computer Science, Data Science, Mathematics, Engineering, or a related field.
• Relevant experience in machine learning, artificial intelligence, or model development and deployment.
• Proficiency in Python and machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Strong understanding of statistics, data preprocessing, model evaluation, and machine learning algorithms.
• Experience working with healthcare data, digital health platforms, cloud technologies, or production ML systems is an added advantage.

Method of Application

Interested and qualified? Go to TeamAce Limited on docs.google.com to apply