Job Description
We are looking for a highly skilled and versatile ML Engineer to join our advanced analytics team. In this role, you will design, develop, and deploy recommendation systems, time series forecasting models, and machine learning solutions based on boosting and decision tree algorithms. You will work closely with cross-functional teams to turn data into actionable insights and scalable solutions.
Key Responsibilities:
Develop and optimize recommendation systems (collaborative filtering, content-based, hybrid approaches)
Build and validate time series forecasting models using traditional and machine learning techniques (ARIMA, Prophet, LSTM, etc.)
Implement boosting algorithms (XGBoost, Light GBM, Cat Boost) and decision trees for various supervised learning tasks
Collaborate with data engineers and ML engineers to deploy models on Azure and Databricks environments
Perform data exploration, feature engineering, and model evaluation
Present findings and mode...
Key Responsibilities:
Develop and optimize recommendation systems (collaborative filtering, content-based, hybrid approaches)
Build and validate time series forecasting models using traditional and machine learning techniques (ARIMA, Prophet, LSTM, etc.)
Implement boosting algorithms (XGBoost, Light GBM, Cat Boost) and decision trees for various supervised learning tasks
Collaborate with data engineers and ML engineers to deploy models on Azure and Databricks environments
Perform data exploration, feature engineering, and model evaluation
Present findings and mode...
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