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Artificial Intelligence Machine Learning Engineer Jobs in North Carolina

CoVar

Machine Learning Engineer

Durham, NC · On-site

CoVar is a small AI/ML R&D software company in Durham, NC, that uses artificial intelligence to solve problems that matter. The Machine Learning Engineer will develop software and machine learning ...

CoVar

Machine Learning Engineer

Durham, NC

Machine Learning Engineer About CoVar CoVar is a small AI/ML R&D software company in Durham, NC, that uses artificial intelligence to solve problems that matter. We develop AI/ML tools to help the ...

CoVar

Machine Learning Engineer

Durham, NC · On-site

CoVar is a small AI/ML R&D software company in Durham, NC, that uses artificial intelligence to ... machine learning, Bayesian models, etc. • B.S., preferably M.S. or Ph.D in engineering, math ...

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

Artificial Intelligence Machine Learning Engineer information

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$28.6K

$117K

$175.9K

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

As of Sep 6, 2026, the average yearly pay for artificial intelligence machine learning engineer in North Carolina is $117,026.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,200.00 and $140,900.00 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 North Carolina?

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

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

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

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

Cities in North 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 North 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 $117,026 per year, or $56.3 per hour.

Artificial Intelligence Machine Learning Solutions Engineer I

Heartland Coca-Cola Bottling Company, LLC

Charlotte, NC • On-site

$85 - $125/hr

Other

Medical, Retirement

Posted 5 days ago

Job description

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Artificial Intelligence Machine Learning Solutions Engineer I

Uncap Your Potential at America's Largest Coca-Cola Bottler — Pour Your Passion into Purpose!

We're more than beverages—we're building meaningful careers and vibrant communities. Join our team where your talent meets purpose, and every teammate directly shapes our success.

  • Career Growth: Clear pathways to advance and develop your career
  • Competitive Benefits: 401(k) match + health coverage + employee stock purchase plan
  • Purpose-Driven: Create meaningful impact in the communities you serve
  • Professional Development: Dedicated training + personalized mentorship

Join us - your refreshing new chapter starts here!

Job Overview

The AI / ML Solutions Engineer I is responsible for designing, building, and supporting advanced AI, machine learning, automation, and intelligent analytical solutions that address complex business needs. This role develops technical capabilities that extend beyond standard data product delivery and helps the organization solve higher-value problems through predictive insights, automation, and emerging technologies.

Duties & Responsibilities
  • Design, build, and implement AI, machine learning, automation, and advanced analytical solutions that address complex business needs
  • Evaluate technical feasibility, define solution approaches, and develop prototypes or production-ready components for innovation-led use cases
  • Prepare, test, and validate data, models, logic, and solution components to ensure quality, reliability, and business usefulness
  • Partner with Data Solutions Leads, business stakeholders, and technical teams to align advanced solutions to business goals and operational needs
  • Monitor, maintain, enhance, and document deployed AI, ML, or automation solutions to support sustainability and ongoing value realization
  • Other duties as assigned
Knowledge, Skills, & Abilities
  • Strong experience in AI, machine learning, advanced analytics, automation, or intelligent solution development
  • Proficiency in Python, SQL, and other technical tools used for data science, automation, and model development
  • Experience designing and implementing predictive, classification, recommendation, optimization, or LLM-based solutions
  • Ability to evaluate technical feasibility and translate business problems into scalable technical approaches
  • Understanding of data preparation, feature engineering, model testing, validation, and solution monitoring
  • Experience integrating advanced solutions into business processes, applications, or reporting environments
  • Strong communication skills and ability to collaborate with business partners, Data Solutions Leads, and other technical resources
  • Ability to work through ambiguity and build practical, production-minded solutions
Minimum Qualifications
  • Bachelor’s degree (4 years)
  • 5 to up to 7 years
Preferred Qualifications
  • Bachelor’s degree in Computer Science, Data Science, Information Systems, Software Engineering, Statistics, Mathematics, or a related technical field is preferred

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Equal Opportunity Employer - All qualified applicants will be considered for employment without regard to disability, protected veteran status, or any other characteristic protected by applicable law.

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