Humana is looking to solve complex business challenges by developing and deploying innovative AI-powered solutions, working with large-scale datasets and cutting-edge tools.
Requirements
- 5+ years of experience developing Python-based applications intended for use by others, beyond just building models or conducting data analysis.
- Experience with 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).
- 2+ years of experience with CI/CD tools, pipelines
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
- 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.
- Satellite and Wireless Internet service is NOT allowed for this role.
- A dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information.
- occasional travel to Humana's offices for training or meetings may be required.
