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How much do full time artificial intelligence machine learning jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for full time artificial intelligence machine learning in the United States is $26.35, according to ZipRecruiter salary data. Most workers in this role earn between $21.39 and $27.88 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a full time artificial intelligence machine learning professional, and why are they important?

To thrive as a Full Time Artificial Intelligence Machine Learning professional, you need a solid background in mathematics, statistics, programming (especially Python), and a relevant degree such as computer science or data science. Familiarity with machine learning frameworks (like TensorFlow, PyTorch), cloud platforms (AWS, Azure), and relevant certifications are highly beneficial. Strong problem-solving abilities, curiosity, and effective communication skills help you collaborate and innovate within diverse teams. These competencies are essential for developing robust AI solutions and staying current in a rapidly evolving field.

What are some common challenges faced by professionals in full time artificial intelligence machine learning roles, and how can they be addressed?

Professionals in full-time AI and Machine Learning roles often encounter challenges such as managing large and complex datasets, ensuring model accuracy, and keeping up with rapid technological advancements. Additionally, collaborating with cross-functional teams to translate business needs into technical solutions can be demanding. To address these challenges, it is crucial to stay updated with the latest research, leverage robust data preprocessing techniques, and maintain open communication with stakeholders. Regularly participating in team meetings and knowledge-sharing sessions also helps in overcoming obstacles and fostering innovation.

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

AspectFull Time Artificial Intelligence Machine LearningData Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; certifications in ML/AIDegree in Statistics, Computer Science, or related fields; certifications in data analysis
Work EnvironmentTech companies, research labs, startups; focus on developing AI/ML modelsBusiness environments, consulting firms; focus on data analysis and insights
Employer & Industry UsagePrimarily in tech, finance, healthcare, and research sectorsAcross industries like marketing, finance, healthcare, and e-commerce

While both roles involve working with data, Full Time Artificial Intelligence Machine Learning specialists focus on developing and deploying AI/ML models, whereas Data Scientists analyze data to generate insights. The roles often overlap but differ in their primary objectives and skill sets.

What is a full time artificial intelligence machine learning?

A Full Time Artificial Intelligence Machine Learning job typically involves working as a specialist or engineer who develops, implements, and maintains AI and machine learning models. This role may include tasks such as data preprocessing, building predictive algorithms, optimizing model performance, and collaborating with cross-functional teams to solve real-world problems using AI. Professionals in this field usually work with large datasets, programming languages like Python, and frameworks such as TensorFlow or PyTorch. Full-time positions generally require a background in computer science, mathematics, or a related field, and often involve ongoing learning to keep up with rapidly evolving technologies.

What cities are hiring for Full Time Artificial Intelligence Machine Learning jobs?

Cities with the most Full Time Artificial Intelligence Machine Learning job openings:

What are the most commonly searched types of Artificial Intelligence Machine Learning jobs?

The most popular types of Artificial Intelligence Machine Learning jobs are:

What states have the most Full Time Artificial Intelligence Machine Learning jobs?

States with the most job openings for Full Time Artificial Intelligence Machine Learning jobs include:

Full Time Artificial Intelligence Machine Learning jobs near you

Artificial Intelligence/Machine Learning Engineer

PROLIM Global Corporation

Austin, TX • On-site

Full-time

Posted 24 days ago

Job description

PROLIM Global Corporation (www.prolim.com) is hiring an Artificial Intelligence/Machine Learning Engineer 1 for a leading Government Client.
Job Title: Artificial Intelligence/Machine Learning Engineer
Location: Austin, TX - Hybrid - Onsite and Telework
Duration: 12 Months (Extendable)
Job Summary
We are seeking an experienced Artificial Intelligence/Machine Learning Engineer to support enterprise-level artificial intelligence initiatives. The ideal candidate will provide specialized expertise in AI solution development, enterprise search implementation, AI agent deployment, AI inventory management, and AI governance processes.
This role will support critical AI transformation initiatives, including improving information retrieval capabilities, implementing AI monitoring solutions, developing AI-powered automation agents, and establishing governance standards aligned with cybersecurity, privacy, and technology compliance requirements.
Key Responsibilities
  • Build and deploy components of enterprise search solutions to improve information discovery and retrieval.
  • Assist with configuration, implementation, rollout, and documentation of AI inventory management systems.
  • Support the development, testing, and deployment of AI agents aligned with business unit requirements.
  • Develop technical controls, documentation, and processes supporting AI governance adoption.
  • Collaborate with technical teams and business stakeholders to implement AI-driven solutions.
  • Support AI model integration, testing, monitoring, and operationalization activities.
  • Assist in establishing AI governance frameworks, standards, and compliance processes.
  • Document AI workflows, technical processes, system configurations, and implementation procedures.
  • Analyze business requirements and translate them into AI/ML technical solutions.
  • Support troubleshooting and continuous improvement of AI systems and applications.

Required Skills & Qualifications
  • 1+ year of experience building and deploying components of enterprise search tools.
  • 1+ year of experience configuring, implementing, and documenting AI inventory systems.
  • 1+ year of experience supporting implementation and testing of AI agents.
  • 1+ year of experience developing technical controls, documentation, and processes for AI governance adoption.
  • Experience with Artificial Intelligence and Machine Learning concepts, tools, and implementation practices.
  • Experience supporting enterprise AI initiatives and technology transformation projects.
  • Knowledge of AI governance, cybersecurity, privacy, and compliance requirements.
  • Experience with AI solution documentation and technical process development.
  • Ability to collaborate with cross-functional teams to deliver AI-driven solutions.
  • Strong analytical, problem-solving, and technical communication skills.

Preferred Qualifications
  • Experience supporting government or public sector AI initiatives.
  • Experience implementing enterprise search platforms.
  • Experience working with AI inventory, monitoring, and governance platforms.
  • Experience developing AI agents and automation solutions.
  • Experience supporting large-scale enterprise technology environments.

Interested Candidates
Please send your updated resume and contact details to: anand.kanavalli@prolim.com
About PROLIM Corporation
PROLIM is a leading provider of end-to-end IT, PLM, and Engineering Services and Solutions for Global 1000 companies. We understand business as much as technology and help our customers improve profitability and efficiency through high-value consulting, staffing, engineering, and project management services.
Our offerings include Advisory Services, PLM Software & Services, Program Management, Solution Architecture, Training & Staffing, Cloud Solutions, Infrastructure Services, ERP Practices, Quality Assurance Services, and Engineering Services across a wide range of industries.

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