AI Engineer focused on developing agentic AI systems for professional slide creation at a growing startup. Responsibilities include building workflows and collaborating with product and engineering teams.
About the role
- AI Engineer designing, developing, and integrating machine learning models and AI tools for healthcare processes improvement at Alliance. Collaborating with teams and analyzing data for enhanced care management.
Responsibilities
- Design, develop, deploy, and integrate machine learning models, AI tools, and other analytics products into Alliance systems and workflows
- Build and Integrate Machine Learning and Artificial Intelligence Solutions
- Collaborate with technical managers and cross-functional teams
- Analyze data to understand patient care and business processes
- Develop specific analytics problem statements
- Iteratively develop data pipelines, AI/ML models, and supporting code
- Evaluate AI/ML models and tools with appropriate metrics
- Collaborate with application development, external vendors, and other internal IT teams
- Design and implement model/tool monitoring reports or dashboards
- Support Development of Platforms and Internal Processes for AI/ML Projects
- Communicate with subject matter experts and present results of analysis
Requirements
- Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, Statistics or a related technical field
- Three (3) years of experience developing and deploying software, machine learning, and/or artificial intelligence tools in a professional setting
- 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
- Professional experience collaborating with non-technical stakeholders and/or users to define analytics problems based on open-ended business problem statements
- Knowledge of medical claims data, electronic health records, and/or other healthcare-specific data sources
- Experience with Azure Machine Learning, Azure AI Services and/or Databricks (e.g., Mosaic AI, AutoML)
Benefits
- Medical
- Dental
- Vision
- Life
- Long Term Disability
- Generous retirement savings plan
- Flexible work schedules including hybrid/remote options
- Paid time off including vacation, sick leave, holiday, management leave
- Dress flexibility
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