Associate AI Engineer: Pipelines & ML (Python/Rust)

Maximus; Frankfort (KY); On-site; USD 77,000 - 85,000; Full time

Job summary

Maximus is seeking an Associate AI Engineer to join the IR&D Team in Kentucky. You will build and optimize production pipelines to extract insights from unstructured text and scanned documents, using Python for ML prototyping and Rust for high-performance data processing services.

In this associate-level role, you will contribute to dialog flows, API integrations, and internal tooling, while learning systems programming and expanding your ML portfolio.

Qualifications

• Bachelor’s or advanced degree in Computer Science.
• Strong mathematical foundation in linear algebra, calculus, and statistics.
• Proficient in Python with ML libraries (SciKit-learn, PyTorch).
• Experience building and evaluating ML models (supervised/unsupervised).
• Experience with Git/GitHub, Docker, and AWS or similar clouds.

Responsibilities

• Design and build customer experience and conversational AI solutions, including dialog flows, API integrations and AI agent orchestrations.
• Develop and maintain technical integrations between solutions and Maximus technologies such as CRM, ITSM, and data reporting systems.
• Create comprehensive technical documentation, deployment guides, infrastructure-as-code templates and conduct internal training sessions on implemented solutions.
• Collaborate with internal and external stakeholders to gather requirements, present solution designs, and provide ongoing technical support.
• Research emerging customer experience and conversational AI technologies, evaluate new tools and platforms, upskill on emerging customer experience innovations, and contribute to continued improvement of Maximus solutions offerings.
• Document AI Pipelines: Design systems to process, cleanse, and classify unstructured text and layout-heavy scanned documents.
• Model Development: Train, tune, and optimize machine learning, deep learning, and neural network models for classification and prediction tasks.
• Hybrid Systems Engineering: Write clean, modular Python code for ML modeling and collaborate on migrating performance-critical pipeline services to Rust.
• Feature Engineering: Apply statistical feature engineering and advanced data preprocessing to complex, unstructured data formats.

Skills

Python

Rust

SciKit-learn

PyTorch

Git/GitHub

Docker

AWS

Education

Bachelor's degree in Computer Science

Tools

GitHub

Containerization

Cloud environments

Job description

Maximus is seeking an Associate AI Engineer to join the IR&D Team in Kentucky. You will build and optimize production pipelines to extract insights from unstructured text and scanned documents, using Python for ML prototyping and Rust for high-performance data processing services.

In this associate-level role, you will contribute to dialog flows, API integrations, and internal tooling, while learning systems programming and expanding your ML portfolio.