Scalable Data Preparation and Feature Engineering Specialist

4 days ago


Islamabad, Islamabad, Pakistan Confiz Full time

We are looking for a skilled Scalable Data Preparation and Feature Engineering Specialist who can help us develop and optimize scalable data preparation and feature engineering pipelines. The ideal candidate will have hands-on experience with Spark, PySpark, and Spark Delta, as well as proficiency in traditional machine learning techniques and statistical analysis.

The role involves conducting exploratory data analysis (EDA) to uncover insights and patterns in datasets, applying statistical analysis and traditional machine learning techniques, developing and optimizing scalable data preparation and feature engineering pipelines, and working with Spark, PySpark, and Spark Delta to process large-scale datasets efficiently.

You will also collaborate with data engineers and data scientists to integrate models into business applications, tune ML model performance using appropriate evaluation metrics and hyperparameter optimization, and ensure efficient data processing and storage using Spark and distributed computing frameworks.

To be successful in this role, you should have a strong educational background in computer science or related field, 2-4 years of experience in machine learning engineering, data science, or big data processing, and exposure to MLOPs practices, CI/CD pipelines for ML models. Knowledge of deep learning frameworks (TensorFlow, PyTorch) is a plus.



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