This program focuses on the core concepts of machine learning — model architecture, training pipelines, hyperparameter tuning, and implementation. You'll build models from scratch and deploy them using modern cloud infrastructure.
Duration
2 Months
Location
remote
Level
intermediate
Openings
25
What you'll do
Design and implement ML model architectures
Build data pipelines for model training
Perform hyperparameter optimization
Deploy models using Docker and cloud platforms
Monitor model performance in production
Contribute to open-source ML projects
Who should apply
Proficiency in Python
Understanding of supervised and unsupervised learning
Experience with scikit-learn or similar frameworks
