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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 ...

... deep learning, natural language processing and computer vision * 2 plus years of Experience with SDLC and Agile tools such as JIRA, GitHub, Jenkins, Confluence etc. Desired Qualifications: * Bachelor ...

Leverage continuous engineering practices to deliver business value regarding effectiveness of the ... Eligible full-time teammates enjoy access to medical, dental, vision, life, disability, and AD&D ...

Leverage continuous engineering practices to deliver business value regarding effectiveness of the ... Eligible full-time teammates enjoy access to medical, dental, vision, life, disability, and AD&D ...

We are looking for an experienced software engineer with machine learning expertise to join us in ... Bachelor's or Master's degree in Computer Science, Machine Learning, or a related quantitative ...

As an AI Engineering team member, you will be instrumental in advancing new features and/or ... Execute on the technical vision for development of AI solutions and delivery of AI features to ...

Bachelor's or master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data ... machine learning and deep learning models. * Advanced programming experience in Python and ...

... deep learning models, whether on language, images, events, or graphs, as well as expertise in one ... S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related ...

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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 Aug 26, 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 job categories do people searching Full Time Computer Vision Deep Learning Engineer jobs in Lowesville, NC look for?

The top searched job categories for Full Time Computer Vision Deep Learning Engineer jobs in Lowesville, NC are:

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 July 2026, with employment types broken down into 1% As Needed, 78% Full Time, 16% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $117,998 per year, or $56.7 per hour.

SS Hackathon - AI Developer / AI Engineer

Concord, NC • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement

Re-posted 12 days ago


Job description

Description Neogov is at the forefront of digital innovation, leveraging cutting-edge technology to solve complex problems and transform industries. We are seeking a talented AI Developer to join our dynamic team and help us create intelligent, scalable solutions that drive business impact. Example of Duties Develop AI Models: Design, build, train, and test machine learning (ML) and deep learning models to address specific business challenges, such as natural language processing (NLP), computer vision, or predictive analytics.

Data Handling: Collaborate with data scientists and engineers to collect, clean, preprocess, and analyze large datasets to ensure data quality and availability for model training. Integrate AI Solutions: Deploy AI models into production environments and seamlessly integrate them with existing systems, applications, and APIs. Optimize Performance: Monitor, evaluate, and fine-tune AI models and applications for performance, accuracy, and scalability.

Collaborate & Communicate: Work effectively within multidisciplinary teams, articulating complex technical concepts and findings to both technical and non-technical stakeholders. Research & Innovation: Stay updated with the latest advancements in AI technologies, tools, and industry trends to propose innovative solutions. Typical Qualifications Education:Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, or a related quantitative field.

Experience:Proven experience as an AI Developer, Machine Learning Engineer, or similar role. Programming Proficiency:Strong coding skills in Python, Java, R, and/or C++. AI Frameworks:Hands-on experience with AI/ML frameworks and libraries such asTensorFlow,PyTorch, scikit-learn, or Keras.

Technical Knowledge:Solid understanding of machine learning algorithms, neural networks, data structures, and software architecture. Problem-Solving:Excellent analytical and problem-solving skills with attention to detail. Supplemental Information Experience with cloud computing platforms likeAWS, Google Cloud (GCP), or Azure for model deployment and scaling.

Familiarity with DevOps practices and MLOps tools (e.g., Docker, Kubernetes, MLflow). Knowledge of big data technologies such as Hadoop or Spark. Benefits Competitive salary and compensation package

Comprehensive health, dental, and vision insurance. [401(k) matching or retirement plan]. Flexible work environment/remote options.

Opportunities for continuous learning and professional development (e.g., conference sponsorships, training stipends).