Job Description

• Analyzing various ML algorithms that could be used to solve a given problem and ranking them by their success probability.
• Exploring and visualizing data and identifying differences in data distribution that could affect performance in live deployment.
• Data quality validation and cleaning.
• Finding available datasets online that could be used for training
• Defining validation strategies
• Defining the preprocessing or feature engineering to be done on a given dataset
• Defining data augmentation pipelines
• Training models and tuning their hyperparameters
• Analyzing the errors of the model and designing strategies to overcome them

Job Requirements

• Bachelor's degree (or pursuing one) in Computer Science, Computer Engineering or equivalent experience.
• Excellent knowledge in Python, SQL
• Experience and knowledge with web scraping
• Experience working with machine learning frameworks such as PyTorch, Tensorflow, scikit-learn
• Solid understanding of Object-Oriented Programming (OOP)
• Expertise in visualizing and manipulating big datasets
• Familiarity with Git
• Excellent communication and documentation skills