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Full Time Computer Vision Deep Learning Engineer Jobs in Lowesville, NC

Charlotte, NC(Onsite) Job Type: Full Time Worked on Agentic AI Wokrflows. Should be specialized in ... Solid understanding of machine learning, NLP, computer vision, and other relevant AI fields. Proven ...

Senior AI/ML Engineer

Charlotte, NC · On-site

$102K - $140K/yr

Overview: We are seeking an experienced Senior Machine Learning Engineer to join our AI/ML ... The ideal candidate will possess a robust background in traditional machine learning, deep learning ...

Sr AI Engineer - Physical AI

Charlotte, NC

$102K - $140K/yr

This role sits at the intersection of robotics, computer vision, machine learning, and data ... Our teams are structured around the engineer, giving you the support you need to do your best work.

Bachelor's degree in Electrical Engineering, Computer Science, Computer Engineering, Optics ... Artificial intelligence and machine learning applied to vision systems. This position does not ...

... ML, ML, and deep learning algorithms, while enhancing analytics including LLMs, and create ... Medical/Dental/Vision/Life Insurance * Long-term/Short-term Disability * Health and Dependent Care ...

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Showing results 1-20

Full Time Computer Vision Deep Learning Engineer information

See Lowesville, NC salary details

$47.1K

$118K

$133.5K

How much do full time computer vision deep learning engineer jobs pay per year?

As of Jun 9, 2026, the average yearly pay for full time computer vision deep learning engineer in Lowesville, NC is $117,998.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,300.00 and $127,700.00 per year, depending on experience, location, and employer.

What is the difference between Full Time Computer Vision Deep Learning Engineer vs Machine Learning Engineer?

AspectFull Time Computer Vision Deep Learning EngineerMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, AI, or related; experience with CV and DL frameworksBachelor's or Master's in CS, Data Science, or related; strong programming skills
Work EnvironmentResearch labs, tech companies, AI startups focusing on visual dataTech firms, finance, healthcare, focusing on predictive models
Industry UsagePrimarily in computer vision, robotics, autonomous vehiclesBroader, including NLP, recommendation systems, predictive analytics

The main difference is that Full Time Computer Vision Deep Learning Engineers specialize in visual data analysis using deep learning, while Machine Learning Engineers work on a wider range of predictive models across various data types. Both roles require strong programming skills and knowledge of ML frameworks, but their focus areas and applications differ.

What cities near Lowesville, NC are hiring for Full Time Computer Vision Deep Learning Engineer jobs? Cities near Lowesville, NC with the most Full Time Computer Vision Deep Learning Engineer job openings:
Infographic showing various Full Time Computer Vision Deep Learning Engineer job openings in Lowesville, NC as of May 2026, with employment types broken down into 2% As Needed, 96% Full Time, 1% Contract, and 1% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $117,998 per year, or $56.7 per hour.

GEN AI Architect

Nastech Global

Charlotte, NC • On-site

Full-time

Posted 28 days ago


Job description

Job Title: GEN AI Architect
Location: Charlotte, NC(Onsite)
Job Type: Full Time
 
Job Description
Worked on Agentic AI Wokrflows.
Should be specialized in building & deploying Gen AI applications on Azure commercial/gov cloud
proficient at Python, LLM prompting, Azure OpenAI service, and other Gen AI related Azure services such as Azure AI search
excellent analysis & problem-solving skills; any prior experience in data mapping & transformation work is strongly preferred
Expertise in AI system architecture and experience with designing large-scale distributed systems.
In-depth understanding of deep learning frameworks like TensorFlow, PyTorch, or similar.
Strong background in cloud computing platforms (AWS, GCP, Azure) and familiarity with DevOps practices.
Experience in deploying and maintaining AI systems in production environments.
Solid understanding of machine learning, NLP, computer vision, and other relevant AI fields.
Proven experience in collaborating with cross-functional teams, including product managers, researchers, and business leaders.
Strong leadership, mentoring, and communication skills