Senior ML Engineer

• Build time-series demand forecasting models using rolling statistics, classical ML, and deep learning
• Develop spatial / geospatial models using hexagonal or grid-based representations (e.g., H3)
• Implement classification models (e.g., logistic regression, tree-based models) for risk and state detection

Overview

• Industry - IT - Software / Product Development
• Functional Area - IT Robotics & Automation / IoT / Machine Learning
• Job Role - Machine Learning Engineer
• Employment type - Full Time - Permanent
• Work Mode - In Office

Qualifications

• Any Graduate - Any Specialization
• Any Post Graduate - Any Specialization
• Any Doctorate - Any Specialization

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