Sr. AI/Machine Learning Engineer

• 5+ years in machine learning, data science, or data engineering, including experience putting models into production use.
• Strong proficiency in Python and SQL. You should be comfortable writing and maintaining the integration code yourself.
• Good working knowledge of transformer architecture and how modern foundation models behave.
• Practical experience with both open-source and commercial foundation models, such as Llama, Mistral, or Qwen alongside Anthropic Claude or OpenAI, including prompt design, tool use, and structured output.
• Experience with supervised learning tooling such as SageMaker, H2O, scikit-learn, XGBoost, TensorFlow, or PyTorch.
• Experience with LangChain and LangGraph, or a comparable framework for multi-step model workflows.
• Exposure to synthetic data generation approaches and how to validate them.
• Working knowledge of Microsoft Azure for deploying and operating machine learning workloads (Azure ML, Azure AI Foundry, Azure OpenAI, or equivalent).
• Familiarity with model evaluation, vector stores, and retrieval-augmented generation patterns.
• Knowledge of healthcare and insurance data is strongly preferred.

• Comfort across both traditional machine learning and generative AI, with the judgment to know which problem calls for which.
• Solid engineering habits: version control, testing, code review, reproducibility, and documentation.
• Cost awareness in model selection and design, including token and inference spend.
• Analytical rigor and critical thinking when facing ambiguous, messy, real-world data.
• Clear communication of model behavior, limitations, and results to both technical and business audiences.
• Self-starter with a track record of achievement who will roll up sleeves to tackle hard projects.

• S./B.A. required in Computer Science, Statistics, Mathematics, Engineering, a related technical field, or equivalent experience.

• Azure AI or data science certification (e.g., AI-102 or DP-100) preferred.
• AWS Machine Learning certification a plus.

• Deeper experience with healthcare, insurance, or claims data in a regulated, high-compliance environment.
• Experience with entity resolution, record linkage, or fuzzy matching.
• Experience with document intelligence, OCR, or information extraction from unstructured text and email.
• Contributions to open-source machine learning projects.
• Located in or near Memphis, TN.

Who is Intellivo?

As an industry market leader in subrogation, Intellivo empowers health plans and insurers to maximize financial outcomes by identifying and pursuing more reimbursement opportunities from alternative third-party liability (TPL) payers.

Through innovative technology, Intellivo accelerates the identification of reimbursement opportunities while eliminating burdensome outreach to plan members.

With a 26-year history of excellence, Intellivo proudly represents more than 200 of the country’s largest health plans.

We are Intellivators – forward-thinking pioneers building the technologies that Fortune 500 employers, health plans, TPAs, providers, and billing organizations rely on to ensure responsible claim payments.

Fueled by our experience and innovative startup mentality, we are growing fast.

That Support You Inside and Outside of Work

• Comprehensive medical, dental, and vision insurance
• 401(k) retirement savings plan with employer match
• Paid time off and paid holidays
• Company-paid life insurance and short-term and long-term disability coverage
• Employee Assistance Program with counseling, financial coaching, legal resources, career coaching, and wellness support
• Health Savings Account with company contributions for eligible employees
• Wellness, healthcare advocacy, and pet benefits
• A high-performing, collaborative culture built on ownership, accountability, continuous improvement, and meaningful impact