Description

You will design, develop, and deploy AI-powered solutions to optimize patient scheduling processes.

This role is on-site.

Responsibilities

• Analyze and preprocess data sources to identify relationships, correlations, and ensure data quality.
• Develop and implement machine learning models using advanced algorithms to solve scheduling challenges.
• Conduct hypothesis testing and feasibility checks to validate solutions before deployment.
• Design scalable AI solutions by translating business objectives into technical specifications.
• Evaluate model performance using specific metrics and iterate to improve accuracy.

Required Skills

• 8+ years of experience in data analysis, machine learning, and AI model development.
• Proficiency in Python and R.
• Hands-on experience with TensorFlow and PyTorch.
• Experience using Python notebooks for model development.
• Strong understanding of statistical methods and data mining techniques.
• Expertise in predictive modeling.
• Bachelor's or Master's degree in Computer Science, Engineering, Statistics, or a related field.

Preferred Skills

• Experience in the healthcare domain.
• Ph.D. in a quantitative field.

Key Skills

Education

Any Graduate