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Contractual Artificial Intelligence Machine Learning information

What is the difference between Contractual Artificial Intelligence Machine Learning vs Data Scientist?

AspectContractual Artificial Intelligence Machine LearningData Scientist
CredentialsRelevant degrees in CS, AI, ML; certifications in AI/ML toolsDegrees in CS, Statistics, Data Science; certifications in data analysis
Work EnvironmentProject-based, contractual roles often with tech firms or consultanciesFull-time or contract roles in various industries, including tech, finance, healthcare
Industry UsagePrimarily in AI/ML development projects, automation, and software firmsData analysis, modeling, and insights across multiple sectors

Contractual Artificial Intelligence Machine Learning specialists focus on developing AI and ML models on a contractual basis, often within tech or consulting firms. Data Scientists analyze data to generate insights, working across industries. While both roles require technical skills, AI/ML roles emphasize model development, whereas Data Scientists focus on data analysis and interpretation.

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Contractual Artificial Intelligence Machine Learning jobs near you
Infographic showing various Contractual Artificial Intelligence Machine Learning job openings in the United States as of July 2026, with employment types broken down into 81% Full Time, 16% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution.
Artificial Intelligence/Machine Learning Engineer

Artificial Intelligence/Machine Learning Engineer

Proventus Metrics

Austin, TX • On-site

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Artificial Intelligence/Machine Learning Engineer
Austin, TX (Hybrid)Introduction:

The Artificial Intelligence/Machine Learning Engineer will be responsible for supporting critical artificial intelligence initiatives at the Texas Department of Public Safety. This role will involve building and deploying components of the enterprise search tool, assisting with the configuration, rollout, and documentation of the Darwin AI inventory system, supporting implementation and testing of AI agents, and developing technical controls and processes for AI governance adoption.

Responsibilities:
  • Building and deploying components of the enterprise search tool
  • Assisting with the configuration, rollout, and documentation of the Darwin AI inventory system
  • Supporting implementation and testing of AI agents aligned to business unit needs
  • Developing technical controls, documentation, and processes required for AI governance adoption

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