Machine Learning Intern

Job Description

Technical Skills

(Preferred) Python, Scikit-Learn, Tensorflow, Keras, PyTorch, prior experience with computer vision and CNN models

(Optional) Django, PostgreSQL, EC2, S3, RDS, Docker, Kubernetes, experience with transfer learning

Objectives

Students will be involved in software research and development focussed on machine learning and deep learning for practical industry applications. The development is aimed at prediction of data in the architecture, manufacturing and finance industries.

Primary Responsibilities

• Apply knowledge on latest ML advancements to project methodologies
• Test and evaluate new programs through data extraction, data cleaning, model benchmarking, validation and deployment
• Post-test error analysis
• Gain understanding of the data using exploratory analysis and visualisation techniques
• Propose model that yields the best performance