Gen AI Engineer/ML Engineer Work From Home Internship

Selected intern's day-to-day responsibilities include:

1. Model development & fine-tuning:
i. Fine-tune and optimize generative models such as LLaMA, Falcon, and Mistral LLMs using techniques like LoRa, PEFT, RLHF, and RAG.
ii. Lead the development of knowledge graph generation and intent classification systems using embeddings such as GTE-base and BGE-large for NLP tasks.
2. AI applications development:
i. Build and deploy AI-powered applications for semantic segmentation, image reconstruction, and chatbot systems leveraging technologies like Streamlit, Gradio, FastAPI, and Langchain.
ii. Develop AI-based real-time applications for vehicle identification, threat detection, and smart surveillance using computer vision frameworks.
3. Custom AI solutions:
i. Design and implement tailored AI solutions, including AI mentors, reinforcement learning-based chatbots, and interactive learning systems.
ii. Create AI models that address real-time problems, such as video analytics for interview screening and activity recognition models for various industries.
4. Research & innovation:
i. Conduct cutting-edge research to continuously improve NLP and Generative AI models, with a focus on contextual responses, content generation, and conversational AI.
ii. Innovate solutions that improve text summarization, content retrieval, and chatbot engagement, ensuring high levels of interactivity and relevance.

1