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Per Diem Artificial Intelligence Machine Learning information

What does a per diem artificial intelligence machine learning professional do?

A Per Diem Artificial Intelligence Machine Learning professional works on a temporary or as-needed basis to develop, implement, and optimize AI and machine learning models. Their responsibilities may include data analysis, model training, algorithm development, and collaborating with teams to solve specific problems using AI solutions. This role provides flexibility for both the employer and the professional, often focusing on short-term projects or filling gaps in expertise. Per diem positions are common in organizations needing specialized skills for particular tasks without committing to a full-time hire.

What are the key skills and qualifications needed to thrive as a per diem artificial intelligence machine learning professional?

To thrive as a Per Diem Artificial Intelligence Machine Learning Specialist, you need a strong background in computer science, statistics, and machine learning algorithms, often supported by a degree in a related field. Proficiency in programming languages like Python or R, familiarity with ML frameworks such as TensorFlow or PyTorch, and experience using cloud platforms are typically required. Strong problem-solving abilities, adaptability, and effective communication skills set top performers apart in this flexible role. These competencies enable specialists to swiftly deliver impactful AI solutions and collaborate well on diverse, project-based teams.

How does the flexible, per diem schedule impact project involvement and collaboration for artificial intelligence machine learning professionals?

Per diem AI/ML roles typically offer flexibility, allowing professionals to work on specific projects or tasks as needed. This structure means you may often collaborate remotely with cross-functional teams, contributing your expertise to targeted components rather than full project lifecycles. While this provides excellent work-life balance and exposure to diverse challenges, it also requires strong communication skills to stay aligned with rapidly evolving team goals. Additionally, per diem positions can serve as valuable opportunities for networking and building a varied portfolio, potentially leading to more permanent or advanced roles.

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

AspectPer Diem Artificial Intelligence Machine LearningPer Diem Data Scientist
CredentialsTypically requires a degree in AI, ML, or related fields; certifications like TensorFlow or AWSRequires a degree in data science, statistics, or related fields; certifications like SAS, Python, or R
Work EnvironmentOften in tech companies, research labs, or healthcare; project-based, flexible hoursIn corporate, finance, or healthcare sectors; data analysis-focused, project-based
Industry UsageUsed in AI development, automation, and advanced analyticsUsed in data analysis, reporting, and predictive modeling

Per Diem Artificial Intelligence Machine Learning roles focus on developing AI and ML models, often requiring specialized technical skills. Per Diem Data Scientist positions emphasize analyzing data to inform business decisions. While both roles involve data and analytics, AI/ML roles are more technical and development-oriented, whereas Data Scientist roles focus on data interpretation and reporting.

What jobs can I get with artificial intelligence and machine learning?

With expertise in artificial intelligence and machine learning, you can pursue roles such as AI engineer, machine learning engineer, data scientist, research scientist, and AI software developer. These positions typically require skills in programming languages like Python, knowledge of algorithms, and experience with tools such as TensorFlow or PyTorch.

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

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

What are popular job titles related to Per Diem Artificial Intelligence Machine Learning jobs in Tennessee?

For Per Diem Artificial Intelligence Machine Learning jobs in Tennessee, the most frequently searched job titles are:

What job categories do people searching Per Diem Artificial Intelligence Machine Learning jobs in Tennessee look for?

The top searched job categories for Per Diem Artificial Intelligence Machine Learning jobs in Tennessee are:

Per Diem Artificial Intelligence Machine Learning jobs near you
Infographic showing various Per Diem Artificial Intelligence Machine Learning job openings in Tennessee as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, and 3% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution.

Postdoctoral Scholar in Health AI-Pediatrics CBMI

The University of Tennessee

Memphis, TN • On-site

Full-time

Re-posted 6 days ago

Job description

THIS IS A GRANT-FUNDED POSITION FUNDED UNTIL OCTOBER 1, 2027.

The Postdoctoral Scholar designs, develops, evaluates, and optimizes advanced artificial intelligence (AI) methods that support intelligent cancer patient navigation and clinical decision support. Under the direction of the Principal Investigator, this position leads research and development on multimodal machine learning, agentic AI, explainable AI, causal inference, predictive analytics, and continuous learning to develop trustworthy AI solutions that improve cancer care delivery.

Ph.D. in a relevant discipline (e.g. Medical Informatics, Computer Science, Software Engineering, Mathematics, etc.) 

Track record of publications in top journals and conferences in the field. Strong track record of quantitative and analytics mastery, and expertise in Artificial Intelligence, Machine Learning, Causal Modeling, and Knowledge Graphs. Strong coding and implementation skills. Outstanding interpersonal skills and written and verbal communication capabilities.

WORK SCHEDULE: This position may occasionally be required to work weekends and evenings. May require occasional overnight travel. 

  1. Designs, develops, implements, and optimizes advanced artificial intelligence, machine learning, and multimodal AI models for intelligent cancer patient navigation and clinical decision support.

  2. Conducts research in explainable AI, agentic AI, causal inference, predictive analytics, knowledge representation, and continuous learning.

  3. Designs and evaluates AI algorithms using electronic health records, patient-reported outcomes, social determinants of health, medical imaging, and other healthcare data sources.

  4. Conducts benchmarking, validation, performance evaluation, and fairness, robustness, and explainability assessments of AI model.

  5. Collaborates with software engineers, clinicians, and interdisciplinary investigators to translate AI research into interoperable clinical applications and decision support tools.

  6. Develops and maintains reproducible analytical workflows and research software to support AI model development and evaluation

  7. Mentors graduate students and junior researchers throughout the project lifecycle.

  8. Prepares manuscripts, technical reports, conference presentations, and publications in leading journals and scientific meetings.

  9. Participates in proposal preparation and collaborative research activities supporting federally and state-funded research programs.

  10. Performs other duties as assigned.

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