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Artificial Intelligence Machine Learning Engineer Jobs in South Carolina

Synectic Solutions Inc

This role combines advanced data science, artificial intelligence, machine learning, and ... engineers, logisticians, and leadership. * Ensure all data management and analysis activities ...

Synectic Solutions Inc

$118K - $130K/yr

This role combines advanced data science, artificial intelligence, machine learning, and ... engineers, logisticians, and leadership. * Ensure all data management and analysis activities ...

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All JobsArtificial Intelligence Machine Learning Engineer JobsArtificial Intelligence Machine Learning Engineer Jobs in South Carolina

Artificial Intelligence Machine Learning Engineer information

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$29.2K

$119.5K

$179.6K

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

As of Aug 28, 2026, the average yearly pay for artificial intelligence machine learning engineer in South Carolina is $119,492.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,200.00 and $143,800.00 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 South Carolina?

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

What job categories do people searching Artificial Intelligence Machine Learning Engineer jobs in South Carolina look for?

The top searched job categories for Artificial Intelligence Machine Learning Engineer jobs in South Carolina are:

What cities in South Carolina are hiring for Artificial Intelligence Machine Learning Engineer jobs?

Cities in South Carolina 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 South Carolina 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 $119,492 per year, or $57.4 per hour.

Assistant Professor of Computer Science (Artificial Intelligence, Cybersecurity, Data Science, or...

Orangeburg, SC • On-site

CLAFLIN UNIVERSITY
Colleges, Universities, and Professional Schools • 201 - 500 employees
Learn more about CLAFLIN UNIVERSITYexternal

Full-time

Re-posted 7 days ago

Job description

Position Summary: The Department of Mathematics and Computer Science at Claflin University invites applications for a tenure-track Assistant Professor of Computer Science. The successful candidate will contribute to undergraduate instruction, curriculum development, student mentoring, scholarly activity, and service while helping advance the growth and strategic direction of the Computer Science program. The department seeks a faculty member with expertise in one or more of the following areas: 

  • Artificial Intelligence and Machine Learning 

  • Data Science and Analytics 

  • Cybersecurity 

  • Software Engineering 

  • Cloud Computing 

  • Computer Systems and Networks 

  • Database Systems 

  • Human-Centered Computing 

  • Emerging Computing Technologies 

Candidates with interdisciplinary interests and experience working with undergraduate researchers are especially encouraged to apply. 

Key Responsibilities: 

  • Teach undergraduate and graduate courses in Computer Science and related disciplines. 

  • Develop and deliver course content in alignment with program curricula. 

  • Advise, mentor, and engage students in research, internships, and career preparation. 

  • Maintain active scholarship and pursue external funding. 

  • Participate in departmental, university, and community service. 

  • Support assessment, accreditation, and continuous improvement activities. 

Qualifications: 

  • Ph.D. in Computer Science or closely related field completed by the start date. 

  • Demonstrated ability to teach undergraduate Computer Science courses. 

  • Commitment to student success. 

  • Strong communication and interpersonal skills. 

  • Evidence of scholarly potential.  

Preferred Qualifications 

Preference will be given to candidates with expertise in one or more of the following strategic areas: 

  • Artificial Intelligence / Machine Learning 

  • Data Science 

  • Cybersecurity 

  • Software Engineering 

  • Cloud Computing 

  • High Performance Computing 

  • Applied Computing for Scientific Research 

Additional preferred qualifications include: 

  • Experience mentoring undergraduate research. 

  • Experience obtaining external grants. 

  • Experience working with diverse student populations. 

  • Experience collaborating with industry or government partners. 

  • Experience teaching in an HBCU or similar student-centered environment. 

Salary: Salary and Rank are commensurate with qualifications.  

Application Procedure: Upload and submit application materials on the job portal such as cover letter, CV, teaching statement, transcripts, sample syllabus and lab materials, evidence of teaching effectiveness and three references.  

Apply