Description

Lead the design and optimization of end-to-end machine learning pipelines focused on demand forecasting and analytics.

This role is hybrid.

Responsibilities

• Build and maintain scalable ML pipelines for production-grade demand forecasting.
• Develop and optimize time-series and ensemble models to ensure prediction accuracy.
• Translate business requirements into technical specifications and scalable data solutions.
• Collaborate with stakeholders to define metrics and validate model performance.

Required Skills

• 5+ years of experience in Data Science or ML Engineering.
• Strong proficiency in building end-to-end ML pipelines.
• Deep expertise in time-series forecasting and ensemble modeling techniques.
• Experience translating business problems into technical data solutions.
• Bachelor's degree in a quantitative field or equivalent experience.

Key Skills

Education

Any Gradute