Humana is seeking a Cognitive/Machine Learning Engineer to develop and deploy innovative AI-powered solutions to solve complex business challenges.
Requirements
- Proficiency in Python 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) and containerization (e.g., Docker, Kubernetes).
- Experience with version control systems (e.g., Git) and software development best practices.
- Knowledge of generative AI frameworks such as Langchain or Pydantic AI.
- Experience with deep learning techniques and frameworks.
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 in Computer Science, Data Science, Mathematics, or a related field.
- 1-5 years of professional experience leveraging large sets of structured and unstructured data to develop tactical and strategic insights.
- Excellent problem-solving skills and ability to work in a collaborative environment.
- Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required.
- Scheduled Weekly Hours: 40
