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

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