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Python Artificial Intelligence Jobs (NOW HIRING)

If you're curious about how artificial intelligence can transform the way life insurance and ... Experience with Python, SQL, and common machine learning frameworks * Strong analytical and problem ...

Artificial Intelligence Intern

Atlanta, GA · On-site

$14.50 - $19.25/hr

Job Title Artificial Intelligence Intern Employment Type Temporary Work Authorization Requirements ... Python programming, and experience working with large unstructured data. • Excellent ...

Artificial Intelligence Intern

Atlanta, GA · On-site

$14.50 - $19.25/hr

Job Title Artificial Intelligence Intern Employment Type Temporary Work Authorization Requirements ... Python programming, and experience working with large unstructured data. • Excellent ...

Artificial Intelligence Intern

Atlanta, GA · On-site

$14.25 - $19/hr

Job Title Artificial Intelligence Intern Employment Type Temporary Work Authorization Requirements ... in Python programming, and experience working with large unstructured data. · Excellent ...

... Python, Artificial Intelligence, Machine Learning, advanced data modeling, and statistical analysis. The ideal candidate will have extensive experience designing, developing, validating, and ...

Artificial Intelligence Intern

Atlanta, GA · On-site

$14.25 - $19/hr

Job Title Artificial Intelligence Intern Employment Type Temporary Work Authorization Requirements ... in Python programming, and experience working with large unstructured data. · Excellent ...

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Python Artificial Intelligence information

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How much do python artificial intelligence jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for python artificial intelligence in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.

What is a Python artificial intelligence specialist?

A Python Artificial Intelligence (AI) specialist is a professional who uses the Python programming language to design, develop, and implement AI systems and solutions. Their work often includes building machine learning models, natural language processing applications, and neural networks using popular Python libraries such as TensorFlow, PyTorch, and scikit-learn. They play a critical role in analyzing data, automating tasks, and creating intelligent software that can learn and adapt over time. These specialists are in demand across industries like healthcare, finance, and technology, where AI-driven insights and automation are valuable.

What are the key skills and qualifications needed to thrive as a Python artificial intelligence engineer, and why are they important?

To excel as a Python Artificial Intelligence Engineer, you need strong programming skills in Python, a solid understanding of machine learning algorithms, and a background in mathematics or computer science. Familiarity with libraries and frameworks such as TensorFlow, PyTorch, scikit-learn, and experience with data processing tools are typically required. Critical thinking, problem-solving abilities, and effective communication skills help you interpret data, design solutions, and collaborate with cross-functional teams. These skills are crucial for developing robust AI models, efficiently handling complex data, and delivering impactful technological solutions.

What are some common challenges faced by Python artificial intelligence developers when working on production-level AI systems?

Python Artificial Intelligence developers often encounter challenges such as ensuring code scalability, optimizing model performance, and handling large datasets efficiently. Integrating AI models into existing production systems can also be complex, especially when coordinating with DevOps and software engineering teams to maintain reliability and uptime. Additionally, staying updated with rapidly evolving libraries and frameworks, and balancing experimentation with project deadlines, are typical hurdles. Collaborating closely with data scientists, product managers, and engineers is essential for overcoming these challenges and delivering robust AI solutions.

What is the difference between Python Artificial Intelligence vs Data Scientist?

AspectPython Artificial IntelligenceData Scientist
Required CredentialsProficiency in Python, AI frameworks, machine learning certificationsDegree in Data Science, Statistics, or related fields; Python skills often required
Work EnvironmentTech companies, research labs, AI startupsBusiness analytics, finance, healthcare, tech firms
Employer & Industry UsageDeveloping AI models, automation, machine learning applicationsData analysis, predictive modeling, data visualization
Search & Comparison IntentFocus on AI development using PythonFocus on data analysis and insights

Python Artificial Intelligence specialists focus on developing AI models and automation using Python, often working in tech and research environments. Data Scientists analyze data to extract insights, frequently utilizing Python as a tool. While both roles require Python skills, AI roles emphasize machine learning and AI frameworks, whereas Data Scientists focus on data analysis and visualization.

What cities are hiring for Python Artificial Intelligence jobs?

Cities with the most Python Artificial Intelligence job openings:

What states have the most Python Artificial Intelligence jobs?

States with the most job openings for Python Artificial Intelligence jobs include:

What are popular job titles related to Python Artificial Intelligence jobs?

For Python Artificial Intelligence jobs, the most frequently searched job titles are:

Infographic showing various Python Artificial Intelligence job openings in the United States as of August 2026, with employment types broken down into 90% Full Time, 7% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.

Artificial Intelligence Instructor with Security Clearance

Annapolis Junction, MD • On-site

IntelliGenesis LLC
IT Services • 51 - 200 employees

Other

Re-posted 17 days ago


Job description

Responsibilities: • Provide training support to ensure operations personnel receive the necessary systems knowledge required to advance their knowledge and comprehension of Artificial Intelligence capabilities/tradecraft, either directly or with the assistance of Artificial Intelligence SME’s or Domain Experts • Provide insight into current/future course needs/development across the wide spectrum of Artificial Intelligence tradecraft. • Perform the majority of course development, instruct high-level specialized courses, and identify/incorporate new artificial intelligence techniques into course materials and offerings • Provide mission areas with direct mentoring to assist customers with implementation of newly acquired/learned skills • Work will be performed between Linthicum Heights and Columbia, MD Required Skills: • Must be a U.S. Citizen • Active TS/SCI clearance and polygraph required • Minimum of four (4) years’ experience performing data-analysis on massive amounts of collected information in order to pinpoint unique insight and intelligence opportunities within the data • Must have an understanding of Artificial Intelligence and its theory • Must have experience with scripting/data analytics (Python, Perl, Bash, etc.) • Must be highly proficient within at least two of the following skill areas: ◦ Mathematics/Statistics ◦ Computer Science ◦ Scripting ◦ Cloud Computing ◦ Data Mining, Metadata Analysis or Machine Learning ◦ Data Visualization or Data Automation. • Must have familiarity with relational capabilities integration, a wide variety of tools and tradecraft, as well as automation of analytic processes • Must be an expert in understanding “Big Data Analytics” from the perspective of data management, data preparation, data governance and analytic development and production • Must have in-depth experience with at least two of the following advanced scripting languages and tools; Python, R, SQL, Lucene, Jupyter, Pig, Scala, ELK Stack, Splunk, PowerBI, or Jupyter Notebooks Preferred: • Experience instructing NCU courses/NCU Adjunct Certified