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Artificial Intelligence Machine Learning Engineer Jobs in Rockingham, NC

LSU AgCenter

Research Associate 5

Patrick, SC · On-site

LSUAM Engineering - School of Electrical and Computer Engineering (Shuangqing Wei (00007502)) Work ... machine learning techniques for distributed maritime operations undertaken by both surface and ...

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All JobsArtificial Intelligence Machine Learning Engineer JobsArtificial Intelligence Machine Learning Engineer Jobs in Rockingham, NC

Artificial Intelligence Machine Learning Engineer information

See Rockingham, NC salary details

$26.5K

$108.4K

$162.9K

How much do artificial intelligence machine learning engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for artificial intelligence machine learning engineer in Rockingham, NC is $108,408.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,400.00 and $130,500.00 per year, depending on experience, location, and employer.

What is an artificial intelligence machine learning engineer?

An Artificial Intelligence (AI) Machine Learning Engineer is a professional who designs, builds, and implements machine learning models and AI systems. They work with large datasets, develop algorithms, and use programming languages like Python or R to enable computers to learn from data and make predictions or decisions. Their work is essential in fields such as natural language processing, computer vision, and robotics. These engineers collaborate with data scientists, software developers, and business stakeholders to deploy AI solutions in real-world applications.

What are some common challenges faced by artificial intelligence machine learning engineers when deploying models to production?

One of the main challenges AI/ML engineers encounter is ensuring that models trained in a controlled environment perform reliably in real-world production settings. This often involves handling issues like data drift, scaling models to handle large volumes of requests, and integrating with existing infrastructure. Collaboration with data engineers and software developers is crucial to streamline deployment, monitor model performance, and address any unexpected behavior quickly. Keeping up with evolving tools and best practices is also important for long-term model maintenance and success.

What are the key skills and qualifications needed to thrive as an artificial intelligence machine learning engineer, and why are they important?

To thrive as an Artificial Intelligence Machine Learning Engineer, you need strong programming skills (typically in Python or R), a background in mathematics or statistics, and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), cloud platforms, and relevant certifications are highly valuable. Problem-solving ability, creativity, and effective communication are important soft skills that distinguish top performers in this role. These competencies are crucial for designing robust AI solutions, collaborating with cross-functional teams, and driving innovation in rapidly evolving technological environments.

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

AspectArtificial Intelligence Machine Learning EngineerData Scientist
Required CredentialsBachelor's or higher in CS, AI, ML, or related; certifications like TensorFlow, AWSBachelor's or higher in CS, Statistics, or related; certifications in data analysis or visualization
Work EnvironmentDevelops AI/ML models, coding, deploying algorithms in software environmentsAnalyzes data, builds models, interprets data insights for business decisions
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, consulting firms

While both roles involve working with data and algorithms, Artificial Intelligence Machine Learning Engineers focus on designing, building, and deploying AI/ML models in software systems. Data Scientists primarily analyze data to extract insights and support decision-making. The roles often overlap but differ in their core focus and daily tasks.

What are popular job titles related to Artificial Intelligence Machine Learning Engineer jobs in Rockingham, NC?

For Artificial Intelligence Machine Learning Engineer jobs in Rockingham, NC, the most frequently searched job titles are:

What cities near Rockingham, NC are hiring for Artificial Intelligence Machine Learning Engineer jobs?

Cities near Rockingham, NC with the most Artificial Intelligence Machine Learning Engineer job openings:

Artificial Intelligence Machine Learning Engineer jobs near you
Infographic showing various Artificial Intelligence Machine Learning Engineer job openings in Rockingham, NC as of August 2026, with employment types broken down into 100% Full Time. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $108,408 per year, or $52.1 per hour.

WAE - Quantum Algorithms Researcher

LSU AgCenter

Patrick, SC • On-site

Part-time

Medical, Dental, Vision, Life, Retirement

Posted 12 days ago

Job description

All Job Postings will close at 12:01a.m. CST (1:01a.m. EST) on the specified Closing Date (if designated).If you close the browser or exit your application prior to submitting, the application progress will be saved as a draft. You will be able to access and complete the application through "My Draft Applications" located on your Candidate Home page.Job Posting Title:WAE - Quantum Algorithms ResearcherPosition Type:Wages as Earned (Fixed Term)Department:LSUAM Engineering - Petroleum - Integrated Petroleum Engineering and Analytics Research (Jyotsna Sharma (00057933))Work Location:3207 Patrick F. Taylor HallPay Grade:TemporaryJob Description:

The Petroleum Engineering department at Louisiana State University is seeking a motivated researcher or engineer to develop, test, and apply quantum computing workflow or quantum-inspired approaches to analyze datasets from sensing systems or energy-industry-relevant problems. The project may also involve signal processing, machine learning, or other computational techniques. The exact project scope may be refined based on program needs and the candidate's expertise.

100% Develop, test, and apply quantum computing workflow or quantum-inspired approaches to analyze datasets from sensing systems or energy-industry-relevant problems. Contribute to publishable research outcomes, with deliverables including technical documentation, presentations, and a journal manuscript or conference paper based on the project results.

Minimum Qualifications

Bachelors degree in computer science, electrical engineering, physics, applied mathematics, or closely related field.

Strong programming experience in Python and familiarity with machine learning.

Preferred Qualifications

Ph.D. in computer science, electrical engineering, physics, applied mathematics, or closely related field.

Experience with quantum algorithms, quantum computing, quantum annealing, variational quantum circuits, quantum machine learning, or quantum-inspired optimization.

Experience with quantum software frameworks such as Qiskit, PennyLane, Cirq, D-Wave Ocean, TensorFlow Quantum, or similar tools.

Pay will be commensurate with education and experience. Sponsorship is not available for this position.

Additional Job Description:Special Instructions:For questions regarding this position, please contact the hiring manager, Dr. Jyotsna Sharma, at jsharma@lsu.edu.

Skills Needed:

Preferred Skills:

Posting Date:August 7, 2026Closing Date (Open Until Filled if No Date Specified):December 7, 2026Additional Position Information:

Background Check - An offer of employment is contingent on a satisfactory pre-employment background check.

Benefits - LSU offers outstanding benefits to eligible employees and their dependents including health, life, dental, and vision insurance; flexible spending accounts; retirement options; various leave options; paid holidays; wellness benefits; tuition exemption for qualified positions; training and development opportunities; employee discounts; and more!

Positions approved to work outside the State of Louisiana shall be employed through Louisiana State University's partner, nextSource Workforce Solutions, for Employer of Record Services including but not limited to employment, benefits, payroll, and tax compliance. Positions employed through Employer of Record Services will be offered benefits and retirement as applicable through their provider and will not be eligible for State of Louisiana benefits and retirement.

Essential Position (Y/N):LSU is an Equal Opportunity Employer.

All candidates must have valid U.S. work authorization at the time of hire and maintain that valid work authorization throughout employment. Changes in laws, regulations, or government policies may impact the university's ability to employ individuals in certain positions.

HCM Contact Information:

For questions or concerns related to updating your application with attachments (e.g., resumes, RS:17 documents), date of birth, or reactivating applications, please contact the LSU Human Resources Management Office at 225-578-8200 or email HR@lsu.edu. For questions or concerns regarding the status of your application or salary ranges, please contact the department using the information provided in the Special Instructions section of this job posting.

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