Machine Learning Engineer

Job Description

Job Description :

The ML Engineer (Forecaster) will build and deploy intelligent forecasting and agentic AI systems that drive real supply chain decisions for enterprise clients.

Responsibilities :

– Designing agentic AI pipelines that reason, decide, and adapt autonomously.

– Building advanced demand forecasting models using attribute-based and cohort-based approaches.

– Integrating external signals and real-time market inputs into forecasting frameworks.

– Feature engineering at scale : lag structures, rolling aggregations, and derived features.

– Connecting model outputs to measurable business outcomes and communicating insights to clients and leadership.

Requirements :

– Strong foundation in Python (pandas, scikit-learn, XGBoost, LightGBM).

– Understanding of time series forecasting and experience with large-scale transactional datasets.

– Genuine curiosity about agentic AI, LLMs, and emerging ML paradigms.

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!

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