Humana is looking to build the Agentic AI platform and deliver cutting-edge AI-powered solutions to address complex business problems
Requirements
- Familiarity with API frameworks (e.g., FastAPI, Flask) and RESTful API concepts
- 3+ years of experience with containerization (e.g., Docker, Kubernetes)
- 3+ years of experience with CI/CD tools, pipelines
- 3+ years of experience with PySpark
- 2+ years of experience working on any cloud platform. (Azure / GCP / AWS)
- Strong understanding of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
- Knowledge of generative AI frameworks such as Langchain or Pydantic AI
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
- Stay up to date with the latest advancements in machine learning, generative AI, and related technologies
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
- Must have the ability to provide a high-speed DSL or cable modem for a home office
- A minimum standard speed for optimal performance of 25x10 (25mpbs download x 10mpbs upload) is required
- Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required
- Scheduled Weekly Hours: 40
