Experience

Role & Responsibility (R&R)

Role Purpose

• To design, develop, and deploy advanced machine learning (ML) and statistical models that transform structured, semi-structured, and unstructured data into actionable insights. This role will support business functions such as farming, factory operations, supply chain, finance, and sustainability.

Key Responsibilities

• Model Development: Build predictive and prescriptive ML models (time-series, regression, classification, clustering, optimization).
• Feature Engineering: Extract, transform, and engineer features from diverse data (ERP, IoT, sensors, finance, external datasets).
• Data Management: Collect, clean, and validate large datasets from multiple internal and external systems.
• Deployment: Deploy models into production environments with MLOps practices (CI/CD, retraining pipelines).
• Collaboration: Partner with Product Managers, Data Engineers, and Business Analysts to align AI solutions with BU requirements.
• Monitoring: Continuously track model accuracy, fairness, and drift; retrain and recalibrate models as required.
• Governance: Adhere to Responsible AI guidelines, ensuring transparency, fairness, and explainability of ML models.

Education

• Bachelor, master’s degree in data science, Computer Science, Statistics, Applied Mathematics, or related.