Design, train, and deploy ML models for time-series forecasting
Build and maintain data pipelines using cloud-native tools (AWS/GCP/Azure)
Develop and optimize forecasting models (Prophet, ARIMA, LSTM, TimeGPT)
Collaborate with data, product, and cloud engineers to deliver scalable solutions
Drive project lifecycle from discovery to production deployment
Gather requirements with business stakeholders to shape solutions

🎯 Requirements

4+ years of commercial experience in Data Science / ML
Databricks, Notebooks, PySpark, Workflows, Asset Bundles
Production ML solutions experience
Forecasting/Time-Series Modelling; Regression; Classification; Gradient Boosting
Strong Python skills (Pandas, NumPy, scikit-learn, PyTorch)
Cloud environments (Azure preferred; AWS/GCP also)

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