Develop and deploy innovative AI-powered solutions to solve complex business challenges
Requirements
- 7+ years of Python application development and data manipulation libraries (e.g., Pandas, NumPy)
- Familiarity with API frameworks (e.g., FastAPI, Flask) and RESTful API concepts
- Strong understanding of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
- Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure)
- 3+ years of experience with containerization (e.g., Docker, Kubernetes)
- 3+ years of experience with CI/CD tools, pipelines
- Experience working with Large Language Model (LLM) in application development
Responsibilities
- Explore and implement generative AI technologies using Large Language Models and other generative models to create innovative solutions
- Build and maintain robust APIs for enabling Retrieval-Augmented Generation and generative AI agents within business use cases
- Design, develop, and maintain robust data pipelines for ingestion, processing, and transformation of large datasets
- Assist our data science team in the development and deployment of traditional machine learning models
- Collaborate with data scientists to understand model requirements and translate them into scalable engineering solutions
- Monitor and maintain performance and reliability of deployed APIs, models, and data pipelines
Other
- Bachelor's Degree in a quantitative discipline (e.g., Computer Science, Mathematics, Statistics, or a related field) with a minimum of 5 years of professional experience; OR Master's Degree in a similar field with at least 5 years of relevant experience
- Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required
- Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information
- Ability to work effectively in a remote environment with a self-provided internet service meeting minimum speed requirements
