Tech Stack

Description

You will develop AI-driven healthcare enterprise applications by analyzing large datasets, building data models, and applying machine learning to uncover actionable insights. Partner with stakeholders to drive product and process improvements, ensuring solutions are accurate, scalable, and impactful in a fast-paced environment.

Requirements

• 4+ years in Python with Pandas, NumPy, SciPy, Matplotlib, and regex
• Advanced SQL querying and optimization for large datasets
• Experience training, tuning, and testing ML algorithms (SVM, CART, Bagging, Boosting)
• Experience with prompt engineering and GenAI for classification and data enrichment
• Hands-on experience with AWS services (Lambda, EC2, EMR, S3, Athena, etc.)

Responsibilities

• Develop analytical solutions and translate business challenges into data-backed insights
• Analyze complex datasets to uncover trends, patterns, and opportunities
• Design, build, and maintain data models and reporting systems using ML/DL algorithms
• Evaluate and report on model performance and business impact
• Identify process improvements using advanced analytics and machine learning