Machine Learning Development Intern
Core
Train and develop students to contribute to cutting-edge projects in Machine Learning (ML) and Generative AI (GenAI), focusing on model development, deployment, and prompt engineering.
Role type
Machine Learning Development Intern
Builds
AI-based chatbots and applications
Domain
Artificial Intelligence / Generative AI
Deliverable
production ML models
Required skills
Machine learning algorithms, deep learning, natural language processing (NLP), AI model architectures, Python, TensorFlow, PyTorch, prompt engineering, cloud computing, large language models (LLMs)
Preferred skills
Researching latest trends in GenAI, experimentation with new techniques
Technologies
Python, TensorFlow, PyTorch
Responsibilities
Support the development of ML models with a focus on Generative AI and Prompt Engineering; Assist the ML team in fine-tuning models, optimizing prompt inputs, and improving output quality; Collaborate with engineers and data scientists to understand project requirements and provide solutions for building and deploying AI-based chatbots and applications; Participate in technical meetings and brainstorming sessions to improve model performance; Research the latest trends and breakthroughs in GenAI and contribute to experimentation with new techniques; Help document the development process, maintaining quality standards and best practices in model iteration and deployment.
