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AI/ML Intern
Location
United States
Posted
57 days ago
Salary
0
Seniority
Entry Level
No structured requirement data.
Job Description
AI/ML Intern
JAGGAER
Role Description We are seeking AI/ML Interns to join our AI & Innovation team. Our team is building the next generation of intelligent procurement solutions, leveraging Agentic AI, Retrieval-Augmented Generation (RAG), large language models (LLMs), and other cutting-edge AI technologies to transform how organizations manage sourcing and spend. As an intern, you will contribute to real AI projects from day one: - Designing and building RAG pipelines - Prototyping agentic workflows - Integrating LLMs into our product ecosystem You will collaborate closely with our engineering and data science teams to bring AI-driven features from concept to production. You will start working on meaningful AI projects right away. Qualifications - Currently pursuing a Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or a related field. - Strong programming skills in Python; familiarity with AI/ML libraries such as PyTorch, TensorFlow, Hugging Face Transformers, or scikit-learn. - Exposure to LLM frameworks and tools (e.g., LangChain, LlamaIndex, OpenAI API, or similar) is a plus. - Foundational understanding of machine learning concepts, NLP, and deep learning architectures. - Familiarity with vector databases (e.g., Pinecone, Weaviate, ChromaDB, FAISS) and embedding techniques is a plus. - Excellent communication, organization, and interpersonal skills with a genuine curiosity about emerging AI technologies. - Relevant coursework or personal projects in AI, machine learning, or NLP are highly valued. Requirements - Design, develop, and optimize Retrieval-Augmented Generation (RAG) pipelines using vector databases, embedding models, and LLM APIs. - Prototype and build agentic AI workflows that autonomously plan, reason, and execute multi-step tasks within our procurement platform. - Evaluate and benchmark LLMs and AI models for accuracy, latency, cost, and relevance across different procurement use cases. - Develop and refine prompt engineering strategies to improve the quality and reliability of LLM-generated outputs. - Build data ingestion and preprocessing pipelines to prepare enterprise documents for embedding and retrieval. - Research emerging AI techniques (e.g., function calling, multi-agent orchestration, fine-tuning) and present findings to the team. - Contribute to our library of reusable AI components, tools, and integration patterns. - Participate in demos and feedback sessions to validate AI features with internal stakeholders and customers. - Document AI experiments, model performance metrics, and architectural decisions to build our team’s knowledge base. Benefits - Great medical plans - Adoption benefits - Wellness reimbursement - Generous parental leave - 401(k) match - Flexible work environment - No limit vacation days for exempt employees - Much more!
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