Machine Learning Engineering Internship (Computer Vision)

• 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

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