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Computer Vision Engineer Jobs in Georgia (NOW HIRING)

Cyber Infrastructure (P) Limited

AI Engineer

Atlanta, GA · On-site

$120 - $160/hr

Role description\ AI Engineer designs and develops artificial intelligence models and algorithms ... Hands-on experience with deep learning models, NLP, computer vision, or reinforcement learning.

New

HLBMA LLC

Vision Systems Engineer

Ellabell, GA · On-site

The Vision Systems Engineer will support the prevention of quality issue in advance and maximize ... Use hands and fingers to operate tools, equipment, and computer systems Work Environment: * Work ...

Anduril Industries

Product Sourcing Engineer

Atlanta, GA · On-site

$111K - $147K/yr

... computer vision, sensor fusion, and networking technology to the military in months, not years ... We are looking for software engineers, hardware engineers, roboticists, and front-end mobile ...

Anduril Industries

Product Sourcing Engineer

Atlanta, GA · On-site

$111K - $147K/yr

... computer vision, sensor fusion, and networking technology to the military in months, not years ... We are looking for software engineers, hardware engineers, roboticists, and front-end mobile ...

Anduril Industries

Business Process Engineer

Atlanta, GA · On-site

... computer vision, sensor fusion, and networking technology to the military in months, not years ... ABOUT THE TEAM Anduril Atlanta Supply Chain team is seeking a Business Process Engineer to join our ...

Koch Industries

Lead Software Engineer-AI

Atlanta, GA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Experience developing, deploying, or supporting machine learning, computer vision, AI, or data ... Bachelor's or Master's degree in computer science, engineering, or a related field * Experience ...

Dolby

Sr Researcher, Sight Lab

Atlanta, GA · On-site

... audio engineering, image processing, computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT. At Dolby Laboratories, we ...

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Showing results 41-60

All JobsComputer Vision Engineer JobsComputer Vision Engineer Jobs in Georgia

Computer Vision Engineer information

See Georgia salary details

$41K

$102.6K

$116.1K

How much do computer vision engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for 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 is a computer vision engineer?

Computer Vision Engineers are professionals who develop algorithms and systems that enable computers to interpret and process visual information from the world, such as images and videos. They work on tasks like object detection, facial recognition, image segmentation, and more, often using machine learning and deep learning techniques. These engineers apply their expertise in fields like robotics, autonomous vehicles, healthcare, and augmented reality, turning raw visual data into actionable insights.

What does a computer vision engineer do?

Computer vision is a branch of artificial intelligence that attempts to replicate human analytical processes by using algorithms and computer models to understand and identify patterns in images. As a computer vision engineer, you use software to handle the processing and analysis of large data populations, and your efforts support the automation of predictive decision-making efforts. Your responsibilities involve research, programming, data analysis, and user interface design. You may work on a variety of exciting development projects like self-driving cars, mobile devices, innovative features and capabilities in sports and entertainment, and the next generation of social media enhancements.

What are the key skills and qualifications needed to thrive as a computer vision engineer, and why are they important?

To thrive as a Computer Vision Engineer, you need a strong background in computer science, mathematics, and machine learning, often supported by a relevant degree and experience with image processing algorithms. Familiarity with tools and frameworks such as OpenCV, TensorFlow, PyTorch, and proficiency in programming languages like Python or C++ is essential, along with knowledge of deep learning techniques. Analytical thinking, creativity, and effective communication are standout soft skills for this role. These skills and qualities are crucial for developing innovative vision solutions, interpreting complex data, and collaborating efficiently within interdisciplinary teams.

What are some common challenges faced by computer vision engineers when deploying models to production environments?

Computer Vision Engineers often encounter challenges such as ensuring model accuracy in diverse real-world conditions, optimizing models for efficiency on edge devices, and handling large-scale data processing. Deploying models to production requires balancing performance with resource constraints and addressing issues like latency, scalability, and data privacy. Collaborating closely with software engineers and data scientists is crucial to integrate solutions effectively and continuously monitor and improve model performance in live applications.

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

AspectComputer Vision EngineerMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, Electrical Engineering, or related; knowledge of image processing and computer vision librariesBachelor's or Master's in CS, Data Science, or related; strong programming and statistical skills
Work EnvironmentDevelops algorithms for image/video analysis, object detection, and recognition in tech, automotive, or healthcare industriesBuilds models for various data types, including text, images, and structured data across multiple sectors
Employer & Industry UsageTech companies, autonomous vehicles, robotics, healthcareTech firms, finance, e-commerce, healthcare, and research institutions

While both roles involve machine learning techniques, Computer Vision Engineers specialize in developing algorithms for visual data, whereas Machine Learning Engineers work on broader data modeling across various data types. The roles often overlap but differ mainly in focus and application areas.

More about Computer Vision Engineer jobs

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 Computer Vision Engineer jobs in Georgia?

For Computer Vision Engineer jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Computer Vision Engineer jobs in Georgia look for?

The top searched job categories for Computer Vision Engineer jobs in Georgia are:

What cities in Georgia are hiring for Computer Vision Engineer jobs?

Cities in Georgia with the most Computer Vision Engineer job openings:

Computer Vision Engineer jobs near you
Infographic showing various Computer Vision Engineer job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 15% Part Time, 10% Contract, and 3% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $102,605 per year, or $49.3 per hour.

Senior Data Scientist & Product Manager (17607)

Baer

Atlanta, GA • On-site

Other

Re-posted 4 days ago

Job description

Baer is looking for Senior Data Scientist & Product Manager for a Contact-to-Hire project located in Atlanta, GA.
Title: Senior Data Scientist & Product Manager
Location: Hybrid Atlanta, GA (3 days/week on-site)
Duration: Contract-to-Hire
Rate: All-inclusive
Alignment: W2 or C2C
Overview:
We are seeking an experienced Senior Data Scientist & Product Manager to lead the strategy, development, and delivery of innovative Computer Vision solutions. This hybrid role combines technical leadership in AI/ML and computer vision with product ownership, driving the roadmap, vision, and business outcomes for computer vision applications. You will collaborate with cross-functional teams, business stakeholders, and external technology partners to deliver scalable, high-impact AI products.
Description:

  • Lead the design, development, and optimization of Computer Vision and Machine Learning solutions
  • Define and manage the product vision, roadmap, priorities, and business objectives for Computer Vision products.
  • Build and enhance image processing pipelines, rules engines, and AI-powered applications.
  • Partner with engineering, data science, and business teams to deliver scalable, high-quality solutions.
  • Work with external Image Recognition (IR) vendors to improve model performance, accuracy, and product quality.
  • Define product KPIs, monitor performance, and drive continuous improvements based on data and user feedback.
  • Support AI model lifecycle activities including training, validation, deployment, monitoring, and optimization.
  • Manage product backlogs, requirements, release planning, and stakeholder communications.
  • Research emerging AI, Computer Vision, and Generative AI technologies to identify new business opportunities.
  • Mentor technical teams and provide leadership on best practices in AI, Machine Learning, and product development.

Requirements:

  • 7+ years of experience in Data Science or Machine Learning, including 3+ years in Computer Vision.
  • Strong experience with Python and Computer Vision frameworks such as PyTorch, TensorFlow, and OpenCV.
  • Hands-on knowledge of the complete Machine Learning lifecycle, including model deployment and monitoring.
  • Experience leading AI/ML projects from concept through production.
  • Proven experience managing product roadmaps, priorities, and business outcomes.
  • Strong analytical, problem-solving, communication, and stakeholder management skills.
  • Experience working with cross-functional teams and external technology partners.
  • Experience as a Product Owner or Product Manager for AI/ML products.
  • Knowledge of Image Recognition solutions in Retail, CPG, or Supply Chain environments.
  • Experience with Azure, Databricks, APIs, SDKs, CI/CD, and cloud-native architectures.
  • Familiarity with Generative AI, foundation models, and modern AI technologies.
  • Experience with rules engines, business logic frameworks, and data platforms.
  • Bachelor's Degree.

Company Overview:
Baer provides best-in-class engagement experiences for our consultants. Our job requirements are carefully vetted and are typically associated with pivotal programs offering tremendous opportunities to expand your skills leveraging the latest solutions.
Baer is an equal opportunity employer including disability/veteran.

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