Machine Learning Intern
Summary
Internship role assisting with AI/ML development, including LLM features, model experimentation, and data preprocessing using Python and frameworks like PyTorch or TensorFlow.
- Assist in the development and improvement of AI/ML solutions and applications
- Work with machine learning models, datasets, and experimentation pipelines
- Support the implementation and testing of Generative AI and LLM-based features
- Participate in data preprocessing, model evaluation, and optimization activities
- Collaborate with engineers and team members to integrate AI capabilities into products
- Contribute to research and prototyping activities related to AI technologies
- Write clean, maintainable, and well-documented code
- Participate in code reviews and knowledge-sharing activities
- Continuously learn and apply modern AI technologies and software engineering best practices
- Basic knowledge of Python
- Understanding of machine learning fundamentals and core AI concepts
- Basic understanding of Large Language Models and Generative AI
- Familiarity with PyTorch, TensorFlow, or another Machine Learning framework through coursework or personal projects
- Familiarity with Git and basic knowledge of Docker
- Basic knowledge of SQL
- Experience with personal, academic, or pet projects in AI/ML
- Good problem-solving and analytical skills
- Eagerness to learn modern AI technologies and software engineering best practices
- Upper-Intermediate or higher level of English
PERSONAL PROFILE
- Strong motivation to build a career in AI/ML
- Curious and proactive mindset
- Ability to learn quickly and adapt to new technologies
- Good communication and collaboration skills
- Attention to detail and willingness to work in a team environment