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

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 and work on projects involving Generative AI, AI agents, and document analysis, providing hands-on experience in building prototypes and contributing to AI solutions for mental health care technology. Responsibilities: - Research & exploration - Investigate state‑of‑the‑art techniques in large language models (LLMs), AI agents, and orchestration frameworks such as LangChain and LlamaIndex - Prototype development - Assist in designing and building proof‑of‑concept models for AI‑driven workflows, document analysis, and knowledge retrieval systems - Data preparation - Clean, preprocess, and structure datasets for model training, fine‑tuning, and evaluation across different AI use cases - Testing & quality assurance - Validate model outputs, perform error analysis, and help define and track quality benchmarks for accuracy, latency, and reliability - Documentation & collaboration - Prepare clear technical documentation for workflows, APIs, and integration steps to support handoffs to engineering and product teams - Performance evaluation & reporting - Benchmark models for accuracy, latency, scalability, and cost; summarize findings and recommendations in concise reports - Developing a functional AI agent prototype to streamline internal workflows and knowledge access - Building a RAG‑based system that uses vector databases for intelligent, context‑aware knowledge retrieval - Implementing a document analysis pipeline to extract structured data from healthcare documents - Delivering prototypes, documentation, and performance reports for assigned AI use cases 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: - 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, Machine Learning, Data Preparation Important Skills: SQL, LLMs, NLP Nice-to-Have Skills: Curiosity, Collaboration, Documentation