AI/ML Intern - Generative AI & Intelligent… at Ensora Health · Remote

Summary: Ensora Health is the leading provider of software and services for mental and behavioral health therapists. They are seeking a motivated AI/ML Intern to join their technology team, where the intern will work on projects involving Generative AI, AI agents, and document analysis, gaining hands-on experience in building prototypes and contributing to real-world AI solutions. Responsibilities: - Investigate state‑of‑the‑art techniques in large language models (LLMs), AI agents, and orchestration frameworks such as LangChain and LlamaIndex - Assist in designing and building proof‑of‑concept models for AI‑driven workflows, document analysis, and knowledge retrieval systems - Clean, preprocess, and structure datasets for model training, fine‑tuning, and evaluation across different AI use cases - Validate model outputs, perform error analysis, and help define and track quality benchmarks for accuracy, latency, and reliability - Prepare clear technical documentation for workflows, APIs, and integration steps to support handoffs to engineering and product teams - Benchmark models for accuracy, latency, scalability, and cost; summarize findings and recommendations in concise reports Required Qualifications: - Must be a current college student in undergrad (junior or senior) or grad school - Close proximity to Orlando, FL - Currently pursuing a degree in Computer Science, Data Science, Artificial Intelligence / Machine Learning, Software Engineering, Statistics, Applied Mathematics, Health Informatics, or a related field (or equivalent practical experience) - Proficiency in Python and familiarity with common ML/DL frameworks (e.g., PyTorch, TensorFlow) - Basic understanding of LLMs and NLP concepts (tokenization, embeddings, prompts, evaluation) - Working knowledge of SQL and data handling (ideally PostgreSQL or similar) - Strong curiosity about AI/ML and enthusiasm for experimenting with new tools and techniques - Comfort working with data, running experiments, and iterating based on results - Ability to document work clearly, collaborate with others, and ask thoughtful questions - Interest in healthcare data workflows and learning about compliance considerations (e.g., HIPAA) Preferred Qualifications: - Juniors and Seniors preferred - Exposure to LangChain, LlamaIndex, or other AI orchestration frameworks - Experience with vector databases and RAG patterns - Familiarity with cloud AI services such as Azure OpenAI, AWS Bedrock, or GCP Vertex AI Required Skills: Python, PyTorch, TensorFlow, Large Language Models (LLMs), Natural Language Processing (NLP), Tokenization, Embeddings, Prompts, SQL, PostgreSQL, LangChain, LlamaIndex, Vector Databases, Retrieval-Augmented Generation (RAG), Azure OpenAI, AWS Bedrock, GCP Vertex AI, Curiosity about AI/ML