ADA GLOBAL is looking for Machine Learning Scientist to join our dynamic team and embark on a rewarding career journey
Data Collection and Preparation: Gathering, cleaning, and preprocessing data from various sources, ensuring data quality and suitability for analysis.
Exploratory Data Analysis: Conducting exploratory data analysis to gain insights into the data, identify patterns, correlations, and outliers.
Feature Engineering: Selecting and engineering relevant features (variables) from the data to improve the performance of machine learning models.
Model Selection: Choosing appropriate machine learning algorithms and techniques based on the problem, data characteristics, and objectives.
Model Development: Building, training, and fine-tuning machine learning models, such as regression, classification, clustering, and deep learning models.
Hyperparameter Tuning: Optimizing model hyperparameters to improve model performance and generalization.
Model Evaluation: Evaluating model performance using appropriate metrics, cross-validation, and validation techniques to ensure accuracy and reliability.
Employment Type: Full Time, Permanent
Functional Areas: Analytics & Business Intelligence