Description

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

Responsibilities

• Analyze underlying data sources and sets to identify relationships and correlations.
• Build and validate machine learning models for patient scheduling feasibility checks.
• Develop AI solutions focused on optimizing clinical scheduling workflows.
• Conduct thorough feasibility checks on proposed patient scheduling solutions.

Required Skills

• 10+ years of proven experience in data analysis, machine learning, and AI model development.
• Proficiency in Python and R.
• Expertise with TensorFlow, PyTorch, and SciKit-learn.
• Strong grasp of statistical methods, data mining, and predictive modeling.
• Experience with data preprocessing, feature engineering, and model evaluation.
• Ability to think critically and solve complex problems analytically.
• Familiarity with python-notebooks for model development.
• Bachelor's or Master's degree in Computer Science, Engineering, Statistics, or related field.

Key Skills

Education

Any Graduate