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Computer Vision Engineer Jobs in Lawrenceville, GA

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 ...

Honeywell

Sr Advanced AI Engineer

Atlanta, GA

$100K - $138K/yr

NLP, time-series forecasting, computer vision, or reinforcement learning. * Ability to build models with noisy or sparsely labeled datasets. * Experience using MLflow or similar tools for tracking ...

Honeywell

Sr Advanced AI Engineer

Atlanta, GA

$100K - $138K/yr

NLP, time-series forecasting, computer vision, or reinforcement learning. * Ability to build models with noisy or sparsely labeled datasets. * Experience using MLflow or similar tools for tracking ...

Slope

Staff Reliability Engineer

Atlanta, GA · On-site

$165 - $218/hr

... computer vision, sensor fusion, and networking technology to the military in months, not years ... ABOUT THE TEAM The Reliability Engineering team partners across Anduril's engineering ...

New

Anduril Industries

Senior Mechanical Engineer

Atlanta, GA · On-site

$126K - $167K/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

Senior Mechanical Engineer

Atlanta, GA · On-site

$126K - $167K/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

Reliability Engineer

Atlanta, GA · On-site

$98K - $124K/yr

... computer vision, sensor fusion, and networking technology to the military in months, not years ... ABOUT THE TEAM The Reliability Engineering team partners across Anduril's engineering ...

Anduril Industries

Reliability Engineer

Atlanta, GA · On-site

$98K - $124K/yr

... computer vision, sensor fusion, and networking technology to the military in months, not years ... ABOUT THE TEAM The Reliability Engineering team partners across Anduril's engineering ...

ANDURIL INDUSTRIES

Reliability Engineer

Atlanta, GA · On-site

$167K/yr

... computer vision, sensor fusion, and networking technology to the military in months, not years ... ABOUT THE TEAM The Reliability Engineering team partners across Anduril's engineering ...

Elevance Health

Gen AI Engineer

Atlanta, GA · On-site

Gen AI Engineer Gen AI Engineer Location: This role requires associates to be in-office 1 - 2 days ... and computer vision solutions. * Demonstrated 4+ years hands-on experience with Python, SQL ...

Elevance Health

Gen AI Engineer

Atlanta, GA · Hybrid

Gen AI Engineer Gen AI Engineer Location: This role requires associates to be in-office 1 - 2 days ... and computer vision solutions. * Demonstrated 4+ years hands-on experience with Python, SQL ...

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All JobsComputer Vision Engineer JobsComputer Vision Engineer Jobs in Lawrenceville, GA

Computer Vision Engineer information

See Lawrenceville, GA salary details

$44.4K

$111.3K

$126K

How much do computer vision engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for computer vision engineer in Lawrenceville, GA is $111,347.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,200.00 and $120,500.00 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 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 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.
More about Computer Vision Engineer jobs
What job categories do people searching Computer Vision Engineer jobs in Lawrenceville, GA look for? The top searched job categories for Computer Vision Engineer jobs in Lawrenceville, GA are:
What cities near Lawrenceville, GA are hiring for Computer Vision Engineer jobs? Cities near Lawrenceville, GA with the most Computer Vision Engineer job openings:
Computer Vision Engineer jobs near you
Infographic showing various Computer Vision Engineer job openings in Lawrenceville, GA as of August 2026, with employment types broken down into 92% Full Time, and 8% Contract. Highlights an 84% In-person, 8% Hybrid, and 8% Remote job distribution, with an average salary of $111,347 per year, or $53.5 per hour.

Principal AI Engineer

Manhattan Associates

Atlanta, GA • On-site

Full-time

Re-posted 10 days ago

Job description

We create possibilities that move life and commerce forward
Welcome to Manhattan. Every day, our supply chain commerce technology connects two billion people to 20 billion consumer choices. In the warehouse, on the road and in the store, we make what was once impossible, possible. If you want to tackle complex problems and redefine markets, you've come to the right place.
Principal AI Engineer is a senior technical leader responsible for designing, developing, and guiding the implementation of advanced artificial intelligence systems that support business goals. They combine deep expertise in machine learning, data science, and software engineering with strategic leadership to drive AI initiatives across an organization. They will drive the adoption of AI solutions by evangelizing their value, educating stakeholders, and guiding teams to integrate scalable and responsible AI capabilities into products and business processes.
MINIMUM REQUIREMENTS -
  • 7+ years of industry experience in software engineering, machine learning, or AI roles, with a focus on developing, deploying, and scaling ML/AI solutions.
  • 3+ years of proven experience in designing large-scale AI systems and defining technical roadmaps.
  • Strong experience developing AI-driven workflows using eknowledge platforms, and AI agent frameworks such as Microsoft Copilot, Glean, and Google Agentspace
  • Deep knowledge of:
    • Machine Learning (classification, regression, clustering, recommendation systems)
    • Deep Learning (CNNs, RNNs, Transformers, GANs)
    • Natural Language Processing (BERT, GPT, LLM fine-tuning)
    • 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 (Airflow, Spark, ETL systems)
    • MLOps, model lifecycle management, and production-grade deployment
    • Cloud platforms (AWS/GCP/Azure), containerization (Docker), orchestration (Kubernetes)
  • Track record of scaling ML models from experimentation to production across teams or business units.
  • Design and implement integrations using Model Context Protocol to connect AI models with external tools, APIs, and data sources.
  • Demonstrated ability to set research and development direction based on business needs.
  • Possesses and applies moderate to complex knowledge of particular product or platform to the completion of assignments
  • 3+ years experience interfacing and partnering with vendors
  • 3+ years experience assisting in strategy/roadmap and planning
  • Strong communication skills and ability to communicate at all levels of the organization (technical and business)
  • 2+ years experience leading/mentoring more junior staff members
  • Highly self-motivated, directed, ability to work independently and be results-driven
  • 5+ years experience with SharePoint for document management and sharing
  • 5+ years experience with IT ticketing software (Quality Center, ServiceNow, JIRA)
  • 3+ years experience in agile/waterfall software delivery methodologies
  • 3+ years experience using Jira, Bitbucket and Confluence agile toolsets or similar
  • 5+ years experience working with small, geographically distributed teams
  • 5+ years experience working both independently and in a team oriented, collaborative environment
  • Ability to be flexible while delivering assignments with understanding that deliverables may change based on business needs

EDUCATION REQUIREMENTS -
  • Bachelor's degree or foreign equivalent in computer science, engineering or related field or equivalent work experience

Principal Duties and Responsibilities -
  • AI Architecture & Strategy: Design scalable AI/ML architectures and define long-term AI technology strategy aligned with business objectives.
  • Model Development: Lead development of machine learning, deep learning, and generative AI models for production environments.
  • Technical Leadership: Mentor AI engineers, data scientists, and ML engineers; set engineering standards and best practices.
  • Research & Innovation: Evaluate emerging AI technologies and integrate cutting-edge methods into products and platforms.
  • Production Deployment: Oversee model deployment, monitoring, optimization, and lifecycle management in cloud or on-prem environments.
  • Cross-Functional Collaboration: Work closely with product managers, data engineers, and business stakeholders to translate requirements into AI solutions
  • Responsible AI & Governance: Ensure ethical AI practices, model explainability, fairness, privacy, and regulatory compliance.
  • Performance Optimization: Improve model accuracy, efficiency, scalability, and reliability for enterprise-scale systems.

ADDITIONAL CHARACTERISTICS -
  • Independently performs assignments to achieve stated objective. Determines and develops approach to solutions
  • Receives technical guidance only on unusual or complex problems or issues
  • May be responsible for entire projects having moderate to complex scope/impact or portions of projects having considerable scope/impact
  • Uses judgment and discretion to determine work priorities, receiving little instruction from others

#LI-JM1
Committed to diversity and inclusion
At Manhattan, it's about more than just the work. From cultural celebrations to interest groups to volunteer opportunities, your true self is always welcome here. Our team members' backgrounds, experiences and perspectives add to us as a whole and make us unique.
We are proudly an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a veteran. In the United States, Manhattan Associates participates in the Employment Eligibility Verification Program (E-Verify) operated by the Department of Homeland Security in partnership with the Social Security Administration. Participation in the E-Verify Program allows Manhattan to confirm the employment eligibility of all newly hired employees after the Employment Eligibility Verification Form (Form I-9) has been completed.

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