Job Description

Nested Technologies specializes in artificial intelligence, utilizing deep learning to explore areas from biomedical image segmentation to multimodal spatial transcriptomics. We believe in helping traditional industries find new solutions in solving problems.

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 focused 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

Application Instructions
Please apply for this position by submitting your text CV using InternSG.
Kindly note that only shortlisted candidates will be notified.