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Computer Vision Engineer Jobs in Georgia (NOW HIRING)

Valueprosite

AI/ML Engineer

Alpharetta, GA · On-site

Experience with natural language processing (NLP) and computer vision. * Familiarity with DevOps practices and CI/CD pipelines for AI/ML. * Knowledge of big data technologies (e.g., Hadoop, Spark)

Manhattan Associates

Principal AI Engineer

Atlanta, GA · On-site

Computer Vision (YOLO, ResNet, object tracking, OCR) * Expertise in: * Python and relevant ML libraries (TensorFlow, PyTorch, Scikit-learn, Hugging Face) * Data engineering and pipeline development ...

Falcomm

AI/CAD Software Engineer

Atlanta, GA

We are seeking a full-time AI/CAD Software Engineer to join our team. You will lead the development ... Comprehensive Health, Dental, and Vision Insurance * 401(k) Retirement Plan * Paid Time Off (PTO ...

Falcomm

AI/CAD Software Engineer

Atlanta, GA · On-site

We are seeking a full-time AI/CAD Software Engineer to join our team. You will lead the development ... Comprehensive Health, Dental, and Vision Insurance * 401(k) Retirement Plan * Paid Time Off (PTO ...

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All JobsComputer Vision Engineer JobsComputer Vision Engineer Jobs in Georgia

Computer Vision Engineer information

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$41K

$102.6K

$116.1K

How much do computer vision engineer jobs pay per year?

As of Jul 10, 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 do computer vision engineers do?

Computer vision engineers develop algorithms and models that enable computers to interpret and analyze visual data such as images and videos. They often work with machine learning frameworks, programming languages like Python or C++, and tools such as OpenCV or TensorFlow to create applications in areas like object detection, facial recognition, and autonomous systems.

What engineers make $300,000 a year?

Senior computer vision engineers, especially those with advanced skills in deep learning, machine learning, and experience with tools like TensorFlow or PyTorch, can earn $300,000 or more annually in high-demand industries such as technology, autonomous vehicles, or AI research. Compensation often depends on experience, location, and company size, with some roles in Silicon Valley or major tech firms reaching this level through base salary, bonuses, and stock options.

What are Computer Vision Engineers?

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 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.

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 engineer makes $500,000 a year?

A senior computer vision engineer at top tech companies or in specialized industries can earn $500,000 or more annually, often including bonuses and stock options. These roles typically require advanced skills in machine learning, deep learning, and experience with tools like TensorFlow or PyTorch, along with a strong educational background and years of experience. Compensation varies based on location, company size, and individual expertise.

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 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.

Will AI replace computer vision engineers?

AI is transforming the field of computer vision, but computer vision engineers are essential for developing, training, and maintaining AI models and systems. Their expertise in algorithms, programming, and domain knowledge ensures the effective application of AI in real-world scenarios, making complete replacement unlikely in the near term.
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 July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 82% Physical, 1% Hybrid, and 17% Remote job distribution, with an average salary of $102,605 per year, or $49.3 per hour.

AI/ML Engineer

Valueprosite

Alpharetta, GA • On-site

Other

Re-posted yesterday

Job description

Job Summary:

We are seeking a highly skilled AI/ML Engineer with over 15 years of experience to join our dynamic team in Alpharetta, GA. The ideal candidate will possess extensive knowledge and hands on experience in artificial intelligence and machine learning engineering. This role requires a deep understanding of AI/ML algorithms, frameworks, and tools, as well as the ability to lead complex projects from conception to deployment.

Responsibilities:

  • Design, develop, and implement AI/ML models and algorithms to solve complex business problems.

  • Collaborate with cross functional teams to gather requirements and translate them into technical specifications.

  • Conduct research to stay updated on the latest AI/ML trends and technologies.

  • Optimize and fine tune existing models for improved performance and scalability.

  • Lead and mentor junior engineers and data scientists in best practices for AI/ML development.

  • Ensure the quality and integrity of data used for training and testing AI/ML models.

  • Document processes, methodologies, and results to facilitate knowledge sharing within the team.

  • Participate in code reviews and contribute to the continuous improvement of development processes.

Mandatory Skills:

  • Proven experience in AI/ML engineering with a strong portfolio of projects.

  • Expertise in machine learning frameworks such as TensorFlow, PyTorch, or similar.

  • Strong programming skills in Python, R, or Java.

  • Deep understanding of statistical analysis, data mining, and predictive modeling.

  • Experience with cloud platforms (AWS, Azure, Google Cloud Platform) for deploying AI/ML solutions.

  • Ability to work with large datasets and proficiency in data manipulation tools (e.g., SQL, Pandas).

  • Strong problem solving skills and the ability to think critically.

  • Preferred Domains: Healthcare, Banking & Financial, Retail, Insurance

Preferred Skills:

  • Experience with natural language processing (NLP) and computer vision.

  • Familiarity with DevOps practices and CI/CD pipelines for AI/ML.

  • Knowledge of big data technologies (e.g., Hadoop, Spark).

  • Experience in Agile methodologies and project management.

  • Strong communication skills and the ability to present complex ideas to non technical stakeholders.

Qualifications:

  • Bachelor''s or Master''s degree in Computer Science, Data Science, Engineering, or a related field.

  • 13+ years of relevant experience in AI/ML engineering.

  • Proven track record of successful project delivery in AI/ML domains.

  • Strong leadership and mentoring abilities.

Apply