Applied Sciences INTERN
Core
Design, implement, and evaluate machine learning and AI solutions for real-world product scenarios, translating business challenges into research problems and building scalable prototypes.
Role type
Applied Sciences Intern (Research & Development)
Builds
Scalable prototypes and AI-powered systems for production environments
Domain
Artificial Intelligence, Machine Learning, Large Language Models (LLMs), Small Language Models (SLMs)
Deliverable
production ML models | research
Required skills
Python, PyTorch, TensorFlow, experimental design, statistical analysis, data cleaning, hypothesis formulation, technical communication
Preferred skills
Experience with NLP, Computer Vision, Generative AI, Large-scale dataset handling
Technologies
Python, PyTorch, TensorFlow
Responsibilities
Design and execute rigorous experiments to evaluate model effectiveness; Develop, train, fine-tune, and evaluate ML models including LLMs and SLMs; Prepare, clean, and analyze large datasets ensuring data quality; Document research findings and contribute to technical reports or publications
Seniority
Intern