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Computer Vision Engineer Jobs in Alpharetta, GA (NOW HIRING)

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 ...

3B Staffing LLC

Sr. Azure AI Engineer

Alpharetta, GA · Hybrid

$53.75 - $66.75/hr

We are looking for a "Sr. Azure AI Engineer" Location: Alpharetta, GA (Hybrid) Job Type: Contract ... Knowledge of natural language processing (NLP) and computer vision techniques. Nice to have * The ...

3B Staffing LLC

Sr. Azure AI Engineer

Alpharetta, GA · Hybrid

$53.75 - $66.75/hr

We are looking for a "Sr. Azure AI Engineer" Location: Alpharetta, GA (Hybrid) Job Type: Contract ... Knowledge of natural language processing (NLP) and computer vision techniques. Nice to have * The ...

Airbus Ventures

Robotics Application Engineer

Atlanta, GA · On-site

$80 - $100/hr

About this role As Application Engineer, your mission is to support the integration and deployment ... Knowledge of Computer Vision and AI (deep learning framework and tools) Work location * Eureka ...

Zomedica

Cloud Solution Engineer

Roswell, GA · On-site

$120 - $180/hr

Ready to Engineer the Future of Veterinary Medicine? Zomedica is pioneering new ways to connect ... Demonstrated practical knowledge of AI computer vision technologies, including Python, OpenCV, YOLO ...

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OVA.Work

AI Architect

Alpharetta, GA · On-site

$60.50 - $78/hr

... engineers, and product teams • Optimize model accuracy, scalability, and performance • Implement deep learning, NLP, and computer vision solutions where required • Monitor, retrain, and improve ...

Jobtailor

Senior Software QA Engineer, Aviation

Atlanta, GA · On-site

$140 - $190/hr

Bachelor's or Master's degree in Engineering, Computer Science, or a related technical field * 8+ ... Technical understanding of serial communications (e.g., CAN, UART), computer vision, edge computing ...

Zomedica

Cloud Solution Engineer

Roswell, GA · On-site

Cloud Solution Engineer Roswell, GA (on-site) Ready to Engineer the Future of Veterinary Medicine ... Demonstrated practical knowledge of AI computer vision technologies, including Python, OpenCV, YOLO ...

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

Computer Vision Engineer information

See Alpharetta, GA salary details

$47.4K

$118.6K

$134.2K

How much do computer vision engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for computer vision engineer in Alpharetta, GA is $118,635.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,900.00 and $128,400.00 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

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The top searched job categories for Computer Vision Engineer jobs in Alpharetta, GA are:

What cities near Alpharetta, GA are hiring for Computer Vision Engineer jobs?

Cities near Alpharetta, GA with the most Computer Vision Engineer job openings:

Computer Vision Engineer jobs near you
Infographic showing various Computer Vision Engineer job openings in Alpharetta, GA as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 19% Part Time, and 6% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $118,635 per year, or $57 per hour.

Machine Learning Engineer 3 (AI Engineer)

4pconsultinginc

Atlanta, GA • On-site

Contractor

Re-posted 20 days ago

Job description

Machine Learning Engineer 3 (AI Engineer)

Location: Atlanta, GA

Client- Southern Company Gas

Contract- 1 Year
 

Job Summary

We are seeking a highly skilled Machine Learning Engineer (Level 3) with 5–10 years of experience to design, develop, and deploy advanced AI models and systems. This role requires expertise in machine learning, data analysis, and model deployment to optimize business operations and drive innovation within the utilities and energy sector.

The successful candidate will collaborate with cross-functional teams—including data scientists, engineers, and business stakeholders—to integrate AI solutions into real-world applications that support operational efficiency, customer service, and sustainability initiatives.

Key Responsibilities

  • AI Model Development: Design and implement machine learning models and algorithms to address utility-specific challenges such as grid optimization, asset reliability, predictive maintenance, and customer analytics.

  • Data Analysis: Analyze large, complex datasets from SCADA, AMI, and IoT systems to extract actionable insights.

  • Model Training & Evaluation: Train, test, and validate AI models to ensure accuracy, scalability, and compliance with industry reliability standards.

  • Deployment & Integration: Deploy AI solutions into production systems and integrate with enterprise platforms (e.g., Azure, Maximo, EMS/DMS systems).

  • Innovation: Stay current with the latest advancements in AI/ML and recommend solutions that can enhance grid resilience, safety, and efficiency.

  • Collaboration: Partner with engineering, IT, and business units to define requirements and deliver business-aligned AI solutions.

  • Performance Monitoring: Continuously monitor AI models and refine as needed to maintain performance and compliance.

  • Documentation & Knowledge Sharing: Create clear documentation of models, workflows, and processes for reuse and compliance.

Qualifications

Education:

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

Experience:

  • 5–10 years of experience in AI, ML, or data science roles, with proven success in AI model development and deployment.

  • Industry experience in utilities, energy, or large-scale infrastructure data is preferred.

Technical Skills:

  • Proficiency in Python, R, or Java.

  • Experience with ML frameworks: TensorFlow, PyTorch, scikit-learn.

  • Strong grasp of data structures, algorithms, and applied statistics.

  • Familiarity with cloud platforms such as Azure ML and Azure Databricks (preferred), AWS or Google Cloud (a plus).

  • Experience with big data tools (e.g., Spark, Hadoop) is desirable.

  • Exposure to natural language processing (NLP) or computer vision a plus.

Soft Skills:

  • Strong analytical and problem-solving abilities.

  • Excellent communication skills for cross-functional collaboration.

  • Ability to work independently and manage multiple projects simultaneously.

  • Experience working in agile or iterative development environments.

Preferred Qualifications

  • Lighting up AI/ML use cases in the utility/energy sector (e.g., outage prediction, DERMS optimization, vegetation management analytics).

  • Certifications in AI/ML, data science, or cloud platforms (Azure, AWS, GCP).

  • Experience with MLOps pipelines and CI/CD integration for model deployment.