Applied Sciences INTERN
Core
Analyze and improve performance of advanced algorithms on large-scale datasets and design experimental processes for machine learning tasks.
Role type
Intern, Applied Sciences (Machine Learning)
Builds
Prototypes of scalable systems in AI applications and usable datasets for modeling purposes
Domain
Machine Intelligence and Machine Learning
Deliverable
production ML models
Required skills
Data preparation, experimental design, algorithm performance analysis, data quality assessment, feature ideation support, scalable system prototyping
Preferred skills
Knowledge of industry trends, research techniques
Technologies
Large-scale datasets, AI applications
Responsibilities
Analyze and improve performance of advanced algorithms on large-scale datasets, design experimental process for iteration and optimization, implement prototypes of scalable systems in AI applications, prepare data to be used for analysis by reviewing criteria that reflect quality and technical constraints, assist with the development of usable datasets for modeling purposes, help take cleaned data and adapt for machine learning purposes
Seniority
Intern
