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Computer Vision Machine Learning Engineer Jobs in Georgia

Cox Automotive

Machine Learning Lead Engineer

Fairburn, GA · On-site

$134K - $224K/yr

... computer vision, optimization, predictive models, or causal machine learning. WHAT YOU'LL DO Key ... Partner with engineering teams to integrate AI-enhanced models and establish automated monitoring ...

Cox Automotive

Machine Learning Lead Engineer

Decatur, GA

$134K - $224K/yr

... computer vision, optimization, predictive models, or causal machine learning. WHAT YOU'LL DO Key ... Partner with engineering teams to integrate AI-enhanced models and establish automated monitoring ...

Cox Automotive

Machine Learning Lead Engineer

Pine Lake, GA · On-site

$134K - $224K/yr

... computer vision, optimization, predictive models, or causal machine learning. WHAT YOU'LL DO Key ... Partner with engineering teams to integrate AI-enhanced models and establish automated monitoring ...

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All JobsComputer Vision Machine Learning Engineer JobsComputer Vision Machine Learning Engineer Jobs in Georgia

Computer Vision Machine Learning Engineer information

See Georgia salary details

$41K

$102.6K

$116.1K

How much do computer vision machine learning engineer jobs pay per year?

As of Jun 18, 2026, the average yearly pay for computer vision machine learning 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 are some common challenges Computer Vision Machine Learning Engineers face when deploying models to production environments?

One common challenge for Computer Vision Machine Learning Engineers is ensuring that models perform reliably in real-world conditions, which can vary significantly from controlled training datasets. Handling data drift, optimizing inference speed for deployment on edge devices, and integrating models into existing software pipelines all require close collaboration with software engineers, data scientists, and product teams. Additionally, managing hardware resource constraints and maintaining model accuracy as new data is collected are ongoing responsibilities. Staying up to date with the latest research and tools is essential to address these evolving challenges effectively.

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

AspectComputer Vision Machine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, ML, or related; experience with CV frameworksBachelor's or Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops CV models, works with image/video data, often in AI/tech companiesAnalyzes data, builds predictive models, often in finance, healthcare, or tech
Industry UsageCommon in AI, robotics, autonomous vehicles, surveillanceUsed across finance, marketing, healthcare, and tech sectors

While both roles involve machine learning, Computer Vision Machine Learning Engineers focus on developing models for image and video data, often requiring specialized knowledge in CV frameworks. Data Scientists analyze diverse datasets to extract insights, with less emphasis on visual data. Both roles share foundational ML skills but differ in their application domains.

What does a Computer Vision Machine Learning Engineer do?

A Computer Vision Machine Learning Engineer designs and develops algorithms that enable computers to interpret and understand visual data from the world, such as images and videos. They use machine learning techniques to train models for tasks like object detection, facial recognition, and image segmentation. These engineers typically work with large datasets, optimize models for accuracy and efficiency, and deploy solutions for real-world applications in industries like healthcare, automotive, robotics, and retail.

What are the key skills and qualifications needed to thrive as a Computer Vision Machine Learning Engineer, and why are they important?

To thrive as a Computer Vision Machine Learning Engineer, you need a strong background in computer science, mathematics, and machine learning, typically supported by a relevant degree and experience with image processing algorithms. Proficiency with frameworks like TensorFlow or PyTorch, knowledge of OpenCV, and experience with cloud computing platforms are commonly required. Problem-solving ability, teamwork, and effective communication are crucial soft skills for integrating complex models into real-world applications. These skills and qualities are essential for developing innovative solutions that accurately interpret visual data and drive impactful results.
What are popular job titles related to Computer Vision Machine Learning Engineer jobs in Georgia? For Computer Vision Machine Learning Engineer jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Computer Vision Machine Learning Engineer jobs in Georgia look for? The top searched job categories for Computer Vision Machine Learning Engineer jobs in Georgia are:
Computer Vision Machine Learning Engineer jobs near you
Machine Learning Engineer

Machine Learning Engineer

Infinite Resource Solutions

Atlanta, GA

Other

Posted 8 days ago

Job description

Job Description Machine Learning Engineer Roles and Responsibilities Lead the end-to-end architecture and development of machine learning solutions. Implement machine learning algorithms into services and pipelines to be consumed at large-scale. Engineer large scale development systems using full-stack, distributed shallow and deep-learning technologies and big data technologies.

Architect and develop a highly scalable, distributed, multi-tenant set of microservices backend solutions. Be a part of a highly productive and creative engineering team What Are We Looking For in This Role. Highly Preferred: MS or PhD in Machine learning, Computer Vision, Natural Language Processing or a related field.

5+ years of experience architecting and developing AI and machine learning applications Ability to think critically, question assumptions and devise solutions to challenging technical problems. Hands-on experience with one or more of the following technologies: --Machine Learning: TensorFlow, PyTorch, Spark ML/MLib etc. --ML Technologies: NLP, Computer Vision and related technologies.

--Back end web-services: Java, Spring Boot, Python, Kubernetes, Docker - Big Data technologies: Kafka, Apache Spark, MapR, Hbase, Hive, HDFS etc. Minimum Qualifications Bachelor's Degree Relevant Experience or Degree in: Computer Science, Management Information Systems, Business or related field Typically Minimum 6 Years Relevant Exp Four-year college degree and 6 or more years, and/or a high school diploma with 8 or more years professional experience with full life cycle design and development

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