Nested Technologies – Machine Learning Internship

Technical Skills

(Preferred) Python, Scikit-Learn, Tensorflow, Keras, PyTorch, prior experience with time-series analysis, proficient in hypothesis testing

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

Objectives

Students will be involved in software research and development focussed on machine learning (ML) 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