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Full Time Computer Vision Jobs in Lilburn, GA (NOW HIRING)

... computer vision. Understanding of MLOps principles and practices (e.g., version control, CI/CD for ... Employment Type: Full-Time

This is a fulltime position located in Norcross, GA The basic function of the Accounting Manager ... Our total compensation package includes competitive weekly pay, as well as medical, dental, vision ...

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 ...

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 ...

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 ...

... computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing ... The Atlanta Area base salary range for this full-time position is $137,500-$168,200, which can vary ...

Role Designation Senior Technology Architect Location Atlanta, GA Employment Type Full-Time Role ... Experience implementing Generative AI, NLP, Intelligent Automation, or Computer Vision solutions.

Showing results 21-40

Full Time Computer Vision information

See Lilburn, GA salary details

$30.8K

$44.3K

$58.3K

How much do full time computer vision jobs pay per year?

As of Aug 21, 2026, the average yearly pay for full time computer vision in Lilburn, GA is $44,336.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,900.00 and $50,900.00 per year, depending on experience, location, and employer.

What is a full time computer vision job?

A Full Time Computer Vision job involves working as a specialist in developing systems and algorithms that enable computers to interpret and understand visual information from the world, such as images or videos. Professionals in this field typically design, implement, and optimize computer vision models for tasks like object detection, facial recognition, image segmentation, and video analysis. These roles are commonly found in industries like technology, healthcare, automotive, and robotics, and often require strong programming skills, experience with machine learning frameworks, and a background in mathematics or engineering. Full time positions mean employees work regular hours and receive benefits typical of permanent staff roles.

What are the key skills and qualifications needed to thrive as a full time computer vision engineer?

To thrive as a Full Time Computer Vision Engineer, you need a strong background in mathematics, programming (especially Python or C++), and experience with image processing or machine learning, usually supported by a degree in computer science or a related field. Familiarity with frameworks like OpenCV, TensorFlow, or PyTorch, as well as experience deploying models on various platforms, is highly valued. Problem-solving ability, attention to detail, and effective teamwork are essential soft skills for success in this role. These competencies enable engineers to develop, optimize, and implement innovative vision-based solutions that meet real-world challenges.

What are some common challenges faced by computer vision engineers working full-time, and how can they be addressed?

Full-time computer vision engineers often encounter challenges such as handling large and complex datasets, ensuring model accuracy in diverse real-world conditions, and keeping up with rapidly evolving technologies. Collaborating closely with data scientists, software engineers, and product teams is essential to align solutions with business goals and deploy models effectively. Staying updated through continuous learning and leveraging open-source tools or frameworks can help address these challenges and foster professional growth.

What are the most commonly searched types of Computer Vision jobs in Lilburn, GA?

The most popular types of Computer Vision jobs in Lilburn, GA are:

What cities near Lilburn, GA are hiring for Full Time Computer Vision jobs?

Cities near Lilburn, GA with the most Full Time Computer Vision job openings:

Infographic showing various Full Time Computer Vision job openings in Lilburn, GA as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 18% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $44,336 per year, or $21.3 per hour.

AI Scientist 2

Intuit

Atlanta, GA • On-site

Full-time

Re-posted 15 days ago


Intuit rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

107th of 245 rated software companies


Job description

We are seeking an AI Scientist to work with our collaborative and creative group of scientists and engineers to design and implement the next generation AI and machine learning systems that will power our omnichannel marketing platform. In this role, you will develop and deploy modern machine learning and AI models directly in our core product to address key customer challenges. We are looking for someone passionate about the full model development lifecycle, eager to collaborate with product managers to shape innovative AI product experiences, and driven to make a significant impact on our customers.


Responsibilities


  • Explore, develop, and deploy machine learning models, contributing to the end-to-end ML lifecycle in partnership with machine learning engineers and guided by senior scientists.

  • Apply various machine learning techniques (supervised, unsupervised, reinforcement learning, NLP, GenAI) to improve relevance and personalization algorithms, with an emphasis on understanding and implementing solutions that support broader AI initiatives.

  • Collaborate with product managers, software engineers, and designers in designing experiments and minimum viable products, learning to integrate insights from advanced AI systems.

  • Discover, process, and train on huge data sets.

  • In partnership with product managers and analysts, run regular A/B tests, perform statistical analysis, draw conclusions on the impact of your models, and communicate results to peers and leaders.

  • Research and explore new technology shifts, particularly in generative AI and advanced ML, to understand their potential connection with customer benefits and inform ongoing AI strategy.


Qualifications


  • MS, or PhD in an appropriate technology field (Computer Science, Statistics, Applied Math, Operations Research, etc.) or equivalent work experience.

  • 1+ years of experience in modern AI/ML tools and proficient in Python and typical AI/ML libraries (e.g., TensorFlow, PyTorch, Keras). Familiarity with distributed computing frameworks (e.g., Spark, Ray) is a plus.

  • 1+ years of experience in machine learning techniques such as classification, regression, neural networks, large language models, recommender systems, natural language processing, clustering, anomaly detection, and computer vision. Understanding of MLOps principles and practices (e.g., version control, CI/CD for ML models) is a plus.

  • Familiar with the latest trends and applications of generative AI including agentic applications. 

  • Efficient in SQL

  • Comfortable in a Linux environment

  • Solid communication skills: Demonstrated ability to explain complex technical issues to both technical and non-technical audiences.


Footer

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. 



Employment Type: Full-Time

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