Description

Key Skills: Python, Forecasting, Ariba, Healthcare, Statistical Modelling, Timeseries, AWS, MLOps, Synthetic Data Generation, Test Management, Performance Optimization

Roles and Responsibilities:

• Develop forecasting solutions using time series methods, including ARIMA and statistical modeling approaches.
• Define evaluation metrics aligned to business and operational outcomes for model selection and iteration.
• Validate model performance and robustness using historical data, synthetic data, and real-world validation.
• Deliver AI/ML analytics capabilities in AWS environments with MLOps-aligned practices.
• Balance model performance with explainability, compliance, and cost considerations for healthcare workloads.

Skills Required:

• 10+ years of experience building AI/ML and analytics solutions
• Python for building forecasting and analytics pipelines
• AWS for deploying and operating AI/ML solutions in cloud environments
• Time series forecasting with statistical modeling and ARIMA
• Healthcare domain experience with evaluation and validation using historical and synthetic data

Good to Have:

• MLOps practices for production AI/ML workflows
• Cost management for data and ML workloads
• Synthetic data generation, offline experimentation, and controlled real-world validation

Education: Master's in Computer Science or Master's in Data Science

Key Skills

Education

Any Graduate