Location: Gurugram (Work from Office)
Stipend: Competitive (Based on Skills & Experience)
Duration: Internship (with potential for full-time opportunity)
Job Overview
Registerkaro is looking for a highly motivated Artificial Intelligence Intern to join our AI research and development team. The ideal candidate should have hands-on experience with Retrieval-Augmented Generation (RAG), Agentic AI agents, and fine-tuning Large Language Models (LLMs). This role offers a unique opportunity to work on cutting-edge AI solutions, applying advanced machine learning techniques to real-world business problems.
Key Responsibilities
- Develop and optimize Retrieval-Augmented Generation (RAG) pipelines to enhance the performance of AI models.
- Work on Agentic AI agents to build autonomous, goal-driven AI applications.
- Fine-tune and optimize Large Language Models (LLMs) such as GPT, LLaMA, Falcon, or Mistral to align with specific business use cases.
- Implement and improve prompt engineering techniques to enhance LLM performance.
- Develop APIs and integrate AI models into business applications.
- Research and apply machine learning techniques to improve model efficiency and scalability.
- Conduct model evaluation, performance analysis, and debugging for AI-driven solutions.
- Collaborate with cross-functional teams to integrate AI models into production environments.
- Stay updated with the latest advancements in AI, NLP, and deep learning.
Required Skills & Qualifications
- Strong knowledge of Machine Learning (ML), Deep Learning, and Natural Language Processing (NLP).
- Hands-on experience with RAG frameworks and retrieval-based AI models.
- Experience working with Agentic AI architectures and multi-agent systems.
- Proficiency in fine-tuning LLMs (e.g., GPT, LLaMA, Falcon) using Hugging Face, PyTorch, or TensorFlow.
- Familiarity with vector databases (e.g., Pinecone, FAISS, Weaviate) for optimizing AI retrieval mechanisms.
- Proficiency in Python and frameworks like LangChain, LlamaIndex, OpenAI API, or Cohere.
- Basic knowledge of cloud platforms (AWS, Azure, GCP) and AI model deployment.
- Experience with ML frameworks such as Hugging Face Transformers, TensorFlow, PyTorch.
- Strong problem-solving, analytical, and research skills.
Preferred (Not Mandatory):
- Experience with Docker, Kubernetes, or CI/CD pipelines for deploying AI models.
- Familiarity with graph-based AI search and multimodal AI models.
- Exposure to Reinforcement Learning with Human Feedback (RLHF).
Why Join Us
- Work on real-world AI applications in a fast-growing startup.
- Gain hands-on experience with state-of-the-art AI models and tools.
- Collaborate with AI researchers and expert team.
- Potential for a full-time role based on performance.
If you're passionate about AI and eager to work on cutting-edge projects, apply now!
