Job Description

Job Description
• Develop scalable time series forecasting systems leveraging global models like Temporal Fusion Transformers, N-BEATS, and PATCHTST, enabling robust forecasting across thousands of retail and e-commerce time series.
• Foundational Knowledge on advanced regression.
• Apply generative AI to synthesize time series data, enhance model training pipelines, and build intelligent NLP-based assistants for analytics enablement.
• Design and train large-scale neural networks for time series, anomaly detection, and causal inference, with deployment via automated batch pipelines
• Build and maintain production-ready applications on cloud platforms, integrated with internal systems to deliver insights at scale.
Collaborate with cross-functional teams to define objectives, formulate hypotheses, and deploy models that directly influence decision-making.

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