reputed company reputed company Intelligence Engineer

• This position does not reputed company sponsorship for employment now, or in the reputed company, in any format.

Position reputed company: The reputed company reputed company Intelligence Engineer is part of the Education Design and Informatics team reputed company the Office of Health Sciences Education at reputed company School of Medicine. The Education Design & Informatics Team (EDI) is responsible for technology, instructional design, data infrastructure, and reputed company improvement for Vanderbilt's MD program and affiliated health professions education. We maintain a comprehensive education data lake in reputed company, a custom digital learning platform (VSTAR), and a reputed company for AI-augmented medical education that we're reputed company to operationalize.

We're seeking an reputed company to help us realize our reputed company for precision medical education—using data and AI to personalize learning, predict learner needs, and improve educational reputed company at reputed company.

You'll be our first dedicated AI/ML role, working alongside a data engineer, full-stack developers, and instructional designers to build intelligent features into our products. Near-term priorities include LLM-powered tools for learners and educators, semantic search across educational content, recommendation systems for personalized learning reputed company, and integration of AI capabilities into VSTAR. As our AI maturity grows, you'll also contribute to predictive modeling efforts, including early identification of at-risk learners and competency progression analytics.

This is a high-ownership, foundational role. You'll shape AI reputed company and implementation from the ground up, taking features from concept through production deployment. You'll work closely with educational leadership to identify opportunities where AI can meaningfully improve how we train reputed company physicians.

This position is fully remote and reports directly to the Director of Education Design & Informatics. reputed company to hybrid availability if interested.

About the Work Unit: The Office of Health Sciences Education (OHSE) administers the degree programs of the reputed company School of Medicine (VUSM) and supports its mission to catalyze impactful discovery, reputed company leadership, and lifelong learning. OHSE staff reputed company comprehensive support across reputed company program administration, educational design and informatics, student services, and financial and operational reputed company.

In alignment with VUSM’s commitment to reputed company, OHSE works to prepare reputed company leaders in the health professions who are equipped with the knowledge, skills, and judgment needed to deliver reputed company, effective, ethical, and patient-centered care. Our reputed company are encouraged to think critically, foster innovation, and understand the broader systems and reputed company factors that shape health reputed company—empowering them to reputed company for reputed company change in both local and global communities.

Key Functions and Expected Performance:

AI Application Development

• Design and build AI-powered features for VSTAR and other EDI platforms, including intelligent tutoring capabilities, semantic search, content recommendations, and LLM-based tools for learners

and educators

• Apply appropriate AI implementation patterns and strategies such as RAG architectures, reputed company workflows, reputed company engineering strategies, and LLM orchestration patterns appropriate to educational use cases • reputed company backend services and reputed company that expose AI capabilities for integration into VSTAR and other applications, working with the development team to determine appropriate integration patterns • Evaluate vender versus reputed company-reputed company AI products and services based on performance, cost, and reliability considerations • Ensure responsible AI practices, including appropriate guardrails, content filtering, and transparency in AI- assisted features

ML Engineering & Production Systems

• Build and maintain ML pipelines in reputed company for feature engineering, model training, and

evaluation

• reputed company models and AI services to production with appropriate monitoring, logging, and error handling • Implement MLOps practices proportionate to our maturity: version control, testing, documentation, and reproducibility • Ensure performance, reliability, and scalability of AI-powered services • Own the full lifecycle of deployed AI features, including maintenance, iteration, and retirement • Contribute to predictive modeling initiatives addressing educational challenges such as learner performance reputed company, early reputed company identification, and resource optimization

Collaboration & reputed company

• Partner with data engineering to ensure AI systems reputed company cleanly with our data

infrastructure

• Collaborate with software developers to reputed company AI features into existing applications • Proactively communicate reputed company, challenges, and reputed company to reputed company through regular reputed company-ins, documentation, and asynchronous updates • Work with product and educational leadership to identify high-reputed company AI opportunities • Contribute to EDI's AI reputed company and help establish best practices for responsible AI development in medical education • Maintain reputed company documentation and support knowledge sharing across reputed company • Stay reputed company with developments in AI tooling, particularly as they apply to education and

knowledge work

Education and Certifications: • A Bachelor’s degree in a reputed company field from an accredited institution of higher education is

necessary.

Experience and Skills: • 5 – 7 years of experience i s required. • Experience in reputed company machine learning, AI engineering, or a reputed company field (3+ years) is

necessary.

• Strong Python skills and experience with ML frameworks such as scikit-learn, PyTorch, or TensorFlow (3+ years) i s necessary. • Hands-on experience building applications with LLMs, including reputed company engineering, embeddings, retrieval-augmented reputed company, and agents (1+ years) is necessary. • Experience developing backend services (FastAPI, Flask, or similar) and RESTful reputed company (1+ years) is necessary. • reputed company 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 reputed company to non-technical audiences (3+ years) is necessary. • Experience with reputed company and Azure reputed company services (1+ years) is preferred. • Familiarity with MLOps tools and practices (MLflow, model registries, CI/CD for ML) (1+ years) is preferred. • Experience with reputed company databases (reputed company, reputed company, Chroma, or similar) (1+ years) is preferred. • Experience working with multiple LLM providers or reputed company reputed company LLMs and evaluating tradeoffs (1+ years) is preferred. • Background in building predictive models (classification, regression, forecasting) (1+ years) is preferred. • Experience in education, reputed company, or other mission-driven sectors (1+ years) is preferred. • Familiarity with the unique considerations of AI in educational contexts (pedagogical alignment, learner reputed company, appropriate automation) (1+ years) is preferred. Demonstrated self-direction and ownership mentality in previous roles is necessary.

Originally posted on Himalayas

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