Alliance is looking to improve member health, quality of services, and administrative processes by designing, developing, deploying, and integrating machine learning models, AI tools, and other analytics products into their systems and workflows.
Requirements
- At least two (2) years of experience with Python and relevant libraries for data analysis, machine learning, and AI, such as pandas, Keras, and LangChain.
- Experience with data wrangling and exploratory analysis of complex, real-world data
- Experience with iterative development and evaluation of artificial intelligence and machine learning models
- Experience with deployment, integration, and monitoring of AI/ML models and/or third-party AI/ML tools into production environment for internal or external use
- Experience using Azure Machine Learning, Azure AI Services and/or Databricks (e.g., Mosaic AI, AutoML)
- Experience with large language models (LLMs) and generative AI models (GenAI), such as Llama and gpt-oss
- Proficiency with SQL for querying structured data from relational databases
Responsibilities
- Collaborate with technical managers and cross-functional teams to design, build, and deploy AI/ML models and solutions to improve care management, patient care decisions, and administrative processes.
- Analyze data, such as medical claims, electronic health records, and care management records, to understand patient care and business processes and identify opportunities for AI/ML to improve processes and care outcomes
- Develop specific analytics problem statements and modeling objectives from broadly defined care management and administrative use cases
- Iteratively develop data pipelines, AI/ML models, and supporting code to address analytics use cases
- Evaluate AI/ML models and tools – both internal (developed at Alliance) and external (developed by third parties) – with evaluation pipelines and appropriate metrics consistent with both modeling objectives and the intended health or process outcomes to be achieved with the tool
- Collaborate with application development, external vendors, and other internal IT teams to deploy and sustain AI/ML models and tools
- Design and implement model/tool monitoring reports or dashboards to disseminate information about model performance and impacts to stakeholders
Other
- Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, Statistics or a related technical field and three (3) years of experience developing and deploying software, machine learning, and/or artificial intelligence tools in a professional setting
- Professional experience collaborating with non-technical stakeholders and/or users to define analytics problems based on open-ended business problem statements, interpret data and analyses, scope modeling activities, and evaluate AI or machine learning performance in the context of business outcomes.
- Selected candidate must reside in North Carolina. Some travel for onsite meetings to the Home office at Morrisville may be required.
- Employment for this position is contingent upon a satisfactory background check and credit check, which will be performed after acceptance of an offer of employment and prior to the employee's start date.
- Good verbal and written communication skills, including the ability to explain analysis results and AI/ML modeling concepts, modeling approaches, and performance.
