Humana Inc. is seeking AI Engineers to develop and deploy innovative AI-powered solutions to solve complex business challenges, specifically in the area of generative AI technologies and large-scale datasets.
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
- 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 3 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.
- Scheduled Weekly Hours: 40
- Must meet the minimum internet service requirements for Home or Hybrid Home/Office employees
