Hybrid Applied AI Engineer

at Humana

• Job title: Applied AI Engineer
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: $142,300 - $195,700 per year
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, Azure, Cloud, Docker, Flask, Kubernetes, Numpy, Pandas, Python, PyTorch, Scikit-Learn, Tensorflow
• Location requirements: Hybrid, New York City, United States

About the role

• AI Engineer developing AI-powered solutions with Python and machine learning technologies in a hybrid role at Humana. Collaborating with data scientists and engineers on innovative AI projects.

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

Requirements

• 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
• 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
• Experience working with Large Language Model (LLM) in application development
• Experience with version control systems (e.g., Git) and software development best practices

Benefits

• medical, dental and vision benefits
• 401(k) retirement savings plan
• time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave)
• short-term and long-term disability
• life insurance
• many other opportunities