Nested Technologies is an artificial intelligence firm that applies machine learning and neural network algorithms in fields ranging from architecture, data scraping, to finance. We believe in helping traditional industries find new solutions in solving problems with artificial intelligence.
(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
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.
- 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