This internship offers a hands-on opportunity to design and implement LLM pipelines, focusing on integrating RAG techniques, agentic AI, and vector databases. Interns will contribute to various NLP projects, experiment with models, and optimize performance for real-world applications. The role requires collaboration with diverse teams, contributing to project planning, and participating in team meetings.
Requirements
- Currently pursuing a degree in Data Science, Computer Science, Engineering, or a related field.
- Strong understanding of Machine Learning algorithms and NLP techniques.
- Proficiency in programming languages such as Python or R.
- Experience with data analysis and visualization tools (e.g., Pandas, NumPy, Matplotlib).
- Familiarity with NLP libraries and frameworks (e.g., spaCy, NLTK, Hugging Face Transformers).
- Knowledge of Retrieval-Augmented Generation (RAG) techniques.
- Knowledge of Generative AI models (e.g., GPT, BERT).
- Experience with vector databases and knowledge bases.
- Familiarity with cloud technologies is appreciated (Azure or AWS).
- Excellent problem-solving skills and attention to detail.
- Ability to learn quickly and adapt to a fast-paced environment.
- Strong communication and teamwork abilities.
- Passion for decarbonising steel manufacturing
Benefits
- Hands-on experience with real-world Computer Vision and AI projects.
- Mentorship from experienced professionals in the field.
- Opportunity to work with cutting-edge technologies and tools.
- Collaborative and inclusive work environment