Applied Artificial Intelligence Engineer

Vaga não está no LinkedIn

🕒 Julho 20

🎸 Tennessee – Remoto

🎸 Tennessee – Remote

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🤖 Engenheiro de IA

🦅 Patrocina Visto H1B

Esta empresa já patrocinou vistos H1B no passado.

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Vanderbilt University Medical Center

SiteLinkedInTodas as Vagas

10.000+ funcionários

💼 Consultoria

📚 Educação

🏨 Hospitalidade

💰 Grant em 2024-09

Consulting • Education • Hospitality

Estamos comprometidos com a excelência no cuidado ao paciente, pesquisa biomédica e educação e treinamento médico. Prosperamos diante de desafios, abraçamos a colaboração e defendemos a inovação. Somos um sistema de saúde em crescimento com 7 hospitais e centenas de clínicas no centro-sul dos Estados Unidos, além de termos um dos principais programas de pesquisa biomédica do país.

Descrição

• The Applied Artificial Intelligence Engineer is part of the Education Design and Informatics team within the Office of Health Sciences Education at Vanderbilt University School of Medicine. • The Education Design & Informatics Team (EDI) is responsible for technology, instructional design, data infrastructure, and quality improvement for Vanderbilt's MD program and affiliated health professions education. • We are seeking an AI Engineer to help realize our vision for precision medical education. • You will build intelligent features into our products, including LLM-powered tools, semantic search, recommendation systems, and AI integration. • You will contribute to predictive modeling efforts, including early identification of at-risk learners. • This is a high-ownership, foundational role where you will shape AI strategy and implementation. • You will work closely with educational leadership to identify AI opportunities for improving medical training.

🎯 Requisitos

• A Bachelor’s degree in a related field from an accredited institution of higher education is necessary. • 5 – 7 years of experience is required. • Experience in applied machine learning, AI engineering, or a related field (3+ years) is necessary. • Strong Python skills and experience with ML frameworks such as scikit-learn, PyTorch, or TensorFlow (3+ years) is necessary. • Hands-on experience building applications with LLMs, including prompt engineering, embeddings, retrieval-augmented generation, and agents (1+ years) is necessary. • Experience developing backend services (FastAPI, Flask, or similar) and RESTful APIs (1+ years) is necessary. • Track record of deploying AI or ML features to production environments (1+ years) is necessary. • Comfort with SQL and working with data pipelines (3+ years) is necessary. • Ability to communicate technical concepts clearly to non-technical audiences (3+ years) is necessary. • Experience with Databricks and Azure cloud services (1+ years) is preferred. • Familiarity with MLOps tools and practices (MLflow, model registries, CI/CD for ML) (1+ years) is preferred. • Experience with vector databases (Pinecone, Weaviate, Chroma, or similar) (1+ years) is preferred. • Experience working with multiple LLM providers or open source LLMs and evaluating tradeoffs (1+ years) is preferred. • Background in building predictive models (classification, regression, forecasting) (1+ years) is preferred. • Experience in education, healthcare, or other mission-driven sectors (1+ years) is preferred. • Familiarity with the unique considerations of AI in educational contexts (pedagogical alignment, learner privacy, appropriate automation) (1+ years) is preferred. • Demonstrated self-direction and ownership mentality in previous roles is necessary.

🏖️ Benefícios

• This position does not provide sponsorship for employment now, or in the future, in any format. • Fully remote position • Hybrid availability if interested