Skills

Python JavaScript Data Analysis SQL CI/CD Version Control Decision-making Research Architecture Cloud Architecture Machine Learning react node.js Software Development Next.js Data Science

Job Specifications

Position Summary:

Our partner, one of the U.S.'s most respected healthcare systems, is rethinking how practical machine learning and AI blend within a development-driven environment. As the lead technical contact, you’ll help teams apply both AI tooling and ML models to build smarter applications and workflows. You’ll provide guidance on data usage, model integration, LLM adoption, and intelligent automation across multiple development groups. The systems you support are data-heavy and influence real operational and clinical decisions. You’ll prototype, experiment, and introduce practical solutions that improve productivity and insight. This is a hands-on role with broad visibility and real user impact, ideal for someone who enjoys working at the intersection of AI, machine learning, and engineering.

Experience and Education:

BS in Computer Science, Data Science, Information Technology, or related field
Background in Software Development, AI engineering, or machine learning within complex product environments
Experience supporting multiple engineering teams or working within large-scale software organizations
Hands-on work with both AI tooling (LLMs, copilots) and traditional ML development practices
Exposure to data-rich systems that support operational or analytical decision-making
Familiarity with cloud-native development environments

Skills and Strengths:

Python
Machine Learning
LLMs integration
AI Tooling
JavaScript
React / Next.js
Node.js / NestJS
Data Analysis & Modeling Concepts
Model Evaluation
Algorithmic Thinking
APIs
SQL
Cloud Architecture
Testing Automation
System Design
Version Control
CI/CD Pipeline

Primary Job Responsibilities:

Guide teams on using AI tooling and ML practices to accelerate development, testing, and research
Integrate AI-driven and ML-driven features into existing and new applications
Build proofs-of-concept showcasing how AI/ML can improve productivity, insight, and decision-making
Collaborate with product, data, and engineering leads to shape long-term AI/ML strategy and roadmaps
Translate complex AI and ML concepts into practical engineering guidance and workflows
Ensure AI models, ML pipelines, and automated workflows remain reliable, safe, and scalable
Contribute to core software and application development when needed
Review architecture and provide direction on AI/ML-enabled patterns and best practices
Drive technical decision-making around model usage, integration, deployment, and performance
Promote responsible and ethical approaches to AI and ML adoption within engineering teams
Support the rollout and evaluation of LLM platforms like Claude and other emerging AI tools

About the Company

Ranger Technical Resources is a leading Technology Solutions and Staffing Firm. From our beginning in 1996, our unique process is what has made us the most trusted, innovative, and responsive IT Solutions Company to our clients. We are held in the highest regard for consistently providing quality solutions. We strive to be a dependable, cost-effective solution to our clients' IT Solutions, IT Consulting, and IT Staffing needs. Our goal is to maintain excellence by providing superior client service, a quality recruitment proc... Know more