Machine Learning Lead

Ranger Technical Resources; California (MO); On-site; USD 90,000 - 120,000; Full time

Job summary

A respected healthcare provider is seeking a Mid-Senior level technical lead to enhance AI and machine learning applications within their development teams. This full-time role focuses on integrating AI tooling and ML models, guiding engineering teams, and building proofs-of-concept to improve productivity and clinical decision-making. Candidates should possess a strong software development background with hands-on experience in AI/ML practices, data-rich systems, and relevant programming languages.

Qualifications

• 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.

Responsibilities

• Guide teams on using AI tooling and ML practices to accelerate development.
• Integrate AI-driven and ML-driven features into applications.
• Build proofs-of-concept showcasing AI/ML improvements.
• Collaborate with product, data, and engineering leads for long-term strategy.
• Translate complex AI and ML concepts into engineering guidance.

Skills

Python

LLMs integration

AI Tooling

React / Next.js

Node.js / NestJS

Data Analysis & Modeling Concepts

Algorithmic Thinking

APIs

SQL

Testing Automation

System Design

Version Control

Education

BS in Computer Science, Data Science, Information Technology, or related field

Job description

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
• LLMs integration
• AI Tooling
• React / Next.js
• Node.js / NestJS
• Data Analysis & Modeling Concepts
• Algorithmic Thinking
• APIs
• SQL
• Testing Automation
• System Design
• Version Control

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

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Hospitals and Health Care