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Entry Level Computer Vision Engineer Jobs in Georgia

Design and implement novel computer vision and deep learning algorithms for virtual staining and ... Knowledge of software engineering best practices including version control (Git) and CI/CD ...

AI Software Engineer Location: Cartersville, GA (Qcells Cartersville Factory) Department: Smart ... Professional experience applying machine learning to computer vision - specifically image ...

Agentic AI Engineer

Atlanta, GA · On-site

$110K - $132K/yr

... computer vision tasks. • Write clean, efficient, and well-documented Python code for data ... teams (data engineers, researchers, and product managers) to integrate AI/ML solutions into ...

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Entry Level Computer Vision Engineer information

See Georgia salary details

$41K

$102.6K

$116.1K

How much do entry level computer vision engineer jobs pay per year?

As of Jul 9, 2026, the average yearly pay for entry level computer vision engineer in Georgia is $102,605.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,100.00 and $111,000.00 per year, depending on experience, location, and employer.

What does an Entry Level Computer Vision Engineer do?

An Entry Level Computer Vision Engineer assists in developing computer systems that can interpret and process visual information from the world, such as images and videos. They typically work with machine learning algorithms, neural networks, and image processing techniques to solve problems like object detection, facial recognition, and image classification. Their work often involves data annotation, model training, testing, and optimizing algorithms under the guidance of senior engineers. Entry level engineers usually have a background in computer science or related fields and are familiar with programming languages such as Python and libraries like OpenCV and TensorFlow.

What is the difference between Entry Level Computer Vision Engineer vs Computer Vision Analyst?

AspectEntry Level Computer Vision EngineerComputer Vision Analyst
Required CredentialsBachelor's in CS, Electrical Engineering, or related; knowledge of ML and CV frameworksBachelor's in CS, Data Science, or related; strong analytical skills
Work EnvironmentTech companies, R&D labs, startups; focus on developing algorithms and modelsData analysis teams, research firms; focus on interpreting CV data and insights
Employer & Industry UsageTech, automotive, robotics, healthcareMarket research, consulting, security, and surveillance

Entry Level Computer Vision Engineers focus on developing and implementing computer vision algorithms, often working in R&D or product teams. In contrast, Computer Vision Analysts primarily interpret and analyze CV data to generate insights. Both roles require a strong technical background, but their daily tasks and industry applications differ.

What types of projects do entry level computer vision engineers typically work on, and how much collaboration is involved?

Entry level computer vision engineers often work on tasks like annotating datasets, developing and testing algorithms for image or video analysis, and supporting the integration of computer vision models into existing applications. These projects usually require close collaboration with data scientists, senior engineers, and sometimes product managers to ensure models meet performance requirements. It's common to participate in code reviews and team meetings, fostering a supportive learning environment. As you gain experience, you'll likely take on more complex responsibilities and contribute to larger project components.

What are the key skills and qualifications needed to thrive as an Entry Level Computer Vision Engineer, and why are they important?

To thrive as an Entry Level Computer Vision Engineer, you need a solid background in computer science, mathematics, and image processing, often supported by a relevant degree. Familiarity with programming languages like Python or C++, experience with deep learning frameworks (such as TensorFlow or PyTorch), and knowledge of OpenCV are typically required. Strong problem-solving abilities, attention to detail, and effective teamwork set top candidates apart. These skills and tools are essential for developing, optimizing, and implementing computer vision solutions in real-world applications.
What are the most commonly searched types of Computer Vision Engineer jobs in Georgia? The most popular types of Computer Vision Engineer jobs in Georgia are:
What are popular job titles related to Entry Level Computer Vision Engineer jobs in Georgia? For Entry Level Computer Vision Engineer jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Entry Level Computer Vision Engineer jobs in Georgia look for? The top searched job categories for Entry Level Computer Vision Engineer jobs in Georgia are:
CAD Drafter/Entry Level Engineer

CAD Drafter/Entry Level Engineer

Wesley International LLC

Scottdale, GA • On-site

$40K - $75K/yr

Full-time

Posted 21 days ago


Job description

Job Title: Drafter / Entry-Level Engineer
Department: Engineering
Reports To: Lead Engineer

Position Summary

The CAD Drafter / Entry-Level Engineer supports the engineering function by executing CAD design, drawing creation, revision control, and vendor package preparation. This role enables the Lead Engineer to focus on high-level design, problem-solving, and engineering strategy by ensuring accurate, timely, and well-organized technical documentation.

Key Responsibilities

Engineering Task Execution

  • Review assigned engineering tasks, markups, and design intent provided by the Lead Engineer
  • Identify and clarify missing or unclear requirements before beginning work
  • Execute tasks in alignment with project priorities and deadlines

CAD & Engineering Documentation

  • Create and revise 3D CAD models and 2D engineering drawings
  • Update assemblies and Bills of Materials (BOMs)
  • Maintain alignment between 3D models, drawings, and BOM structures
  • Implement Engineering Change Orders (ECOs) across models, assemblies, and drawings
  • Ensure all documentation adheres to established engineering and drafting standards
  • Maintain revision accuracy and proper version control


Vendor Package Preparation

  • Compile complete and accurate vendor/manufacturing drawing packages
  • Verify correct revisions, file references, and specifications
  • Organize and prepare deliverables for manufacturing and external vendors
  • Support the Lead Engineer in final release readiness

Manufacturing & Production Support

  • Improve drawing clarity to support production efficiency
  • Assist in developing assembly documentation and visual aids
  • Support troubleshooting by updating documentation based on shop feedback

PDM & Engineering Standards Compliance

  • Follow established Product Data Management (PDM) workflows
  • Maintain organized file structures and documentation consistency
  • Reinforce engineering documentation standards and best practices

Cross-Functional & Engineering Support

  • Support engineering changes and updates across departments
  • Assist with production, quality, and supply chain documentation needs
  • Collaborate with internal teams to ensure smooth execution of engineering deliverables

Continuous Improvement

  • Identify opportunities to improve documentation workflows and efficiency
  • Contribute to SOP development and process improvements
  • Support initiatives that reduce engineering bottlenecks and improve throughput


Qualifications

Education:

  • Associate’s or bachelor’s degree in engineering, Drafting, or a related field (or equivalent experience)

Experience:

  • Entry-level to 2 years of experience in CAD drafting or engineering support

Technical Skills:

  • Proficiency in CAD software (e.g., SolidWorks or similar)
  • Understanding of BOM structures and engineering documentation
  • Familiarity with PDM systems preferred


Success Profile

  • Detail-oriented with strong organizational skills
  • Ability to follow structured processes and standards
  • Proactive in identifying gaps and seeking clarification
  • Strong communication and collaboration skills
  • Eagerness to learn and grow within an engineering environment