Please note this is a 3 months FULL TIME INTERNSHIP Role & responsibilities Train and fine-tune ML/LLM models Build scalable APIs with FastAPI Work on backend apps using Django Analyze datasets using pandas, NumPy, scikit-learn Collaborate with Full Stack Developers to deliver AI/ML features Eagerness to learn emerging AI/ML technologies and apply them to real-world problems understanding and Support in fine-tuning pretrained models (e.g., GPT, LLaMA, Mistral, BERT) for specific use cases. Learn to implement RAG pipelines with vector databases (e.g., FAISS, Pinecone) for context-aware AI/ML solutions. Preferred candidate profile Python with strong OOP understanding Familiarity with AI frameworks like PyTorch, TensorFlow (Preferred) Exposure to ML tools (pandas, scikit-learn, NumPy) Strong understanding of Backend FastAPI / Django Interest in LLMs, APIs, and production-ready ML Good problem-solving, logical reasoning, and analytical skills Basic knowledge on Frontend ReactJS/Nextjs and Dashboards Academic project experience or previous work experience in AI, ML, NLP, or data engineering Good problem-solving, logical reasoning, and analytical skills