Job Description:

1. Machine Learning Model Development

• Design, train, evaluate, and deploy supervised and unsupervised ML models for tasks including forecasting, classification, clustering, anomaly detection, and natural language processing on regional datasets.

• Implement and maintain ETL pipelines for data ingestion, transformation, and integration from heterogeneous sources including national statistics, client databases, and open data platforms.

• Apply feature engineering, model selection, hyperparameter tuning, and ensemble techniques to optimize model performance across diverse problem domains.

• Understand ML infrastructure and is able to create and manage a local implementation.

2. LLM Integration and Agentic Solutions

• Explore and benchmark alternative large language models (open-source and proprietary) within the ADP's research environment to enhance data analysis, classification, and content gene...