• Collaborate with team members to design, develop, and implement AI/ML models for applications such as predictive maintenance, anomaly detection, optimization problems, or natural language processing. • Analyze large datasets from various sources to extract insights and validate model performance. • Develop scripts or tools to automate data preprocessing, feature engineering, or model evaluation workflows. • Document methodologies and results clearly for internal presentations or reports.