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Temporary Computer Vision Deep Learning Engineer Jobs in Atlanta, GA

Machine Learning Engineer Job Summary We are seeking a Machine Learning Engineer with strong expertise in machine learning, deep learning, and computer vision. The ideal candidate will have ...

Senior Machine Learning Engineer

Atlanta, GA ยท Remote

$165K - $225K/yr

Design and implement novel computer vision and deep learning algorithms for virtual staining and ... Knowledge of software engineering best practices including version control (Git) and CI/CD ...

... as deep learning, generative AI, computer vision, optimization, predictive models, or causal ... Partner with engineering teams to integrate AI-enhanced models and establish automated monitoring ...

... as deep learning, generative AI, computer vision, optimization, predictive models, or causal ... Partner with engineering teams to integrate AI-enhanced models and establish automated monitoring ...

... as deep learning, generative AI, computer vision, optimization, predictive models, or causal ... Partner with engineering teams to integrate AI-enhanced models and establish automated monitoring ...

Machine Learning Lead Engineer

Fairburn, GA ยท On-site

$134K - $224K/yr

... as deep learning, generative AI, computer vision, optimization, predictive models, or causal ... Partner with engineering teams to integrate AI-enhanced models and establish automated monitoring ...

Machine Learning Lead Engineer

Vinnings, GA ยท On-site

$134K - $224K/yr

... as deep learning, generative AI, computer vision, optimization, predictive models, or causal ... Partner with engineering teams to integrate AI-enhanced models and establish automated monitoring ...

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Temporary Computer Vision Deep Learning Engineer information

See Atlanta, GA salary details

$46.6K

$116.9K

$132.2K

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

As of Jun 20, 2026, the average yearly pay for temporary computer vision deep learning engineer in Atlanta, GA is $116,856.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,200.00 and $126,500.00 per year, depending on experience, location, and employer.

Can I learn ML in 3 months?

A Temporary Computer Vision Deep Learning Engineer typically requires a strong understanding of machine learning concepts, programming skills in Python, and experience with frameworks like TensorFlow or PyTorch. While it is possible to learn foundational skills in three months with intensive study, gaining proficiency for a professional role usually takes longer and involves practical experience and project work.

What is the difference between Temporary Computer Vision Deep Learning Engineer vs Computer Vision Engineer?

AspectTemporary Computer Vision Deep Learning EngineerComputer Vision Engineer
CredentialsBachelor's or Master's in CS, AI, or related; experience with deep learning frameworksBachelor's or Master's in CS, AI, or related; experience with computer vision tools
Work EnvironmentProject-based, short-term contracts, often in tech or research firmsFull-time, ongoing roles in tech companies, startups, or research labs
Industry UsageCommon in consulting, research projects, or temporary assignmentsStandard role in product development, AI solutions, and software engineering

The main difference is that a Temporary Computer Vision Deep Learning Engineer works on short-term projects focusing on deep learning techniques for computer vision, while a Computer Vision Engineer typically holds a permanent position involved in ongoing development of computer vision applications. The temporary role emphasizes flexibility and project-specific skills, whereas the full-time role involves continuous integration into a company's long-term projects.

Is ML a high paying job?

Machine learning (ML) roles, including positions like a computer vision deep learning engineer, are generally well-paid due to high demand for specialized skills in AI, data analysis, and programming. Salaries vary based on experience, location, and industry, but these roles tend to offer above-average compensation compared to many other tech jobs.

Is computer vision a dead field?

Computer vision remains a vibrant and evolving field with ongoing research and practical applications, especially in areas like autonomous vehicles, medical imaging, and security. For a Temporary Computer Vision Deep Learning Engineer, skills in deep learning frameworks such as TensorFlow or PyTorch and knowledge of image processing are essential, and demand continues to grow as technology advances.

What engineers make $500,000?

Senior engineers in specialized fields such as software, data science, or machine learning can earn $500,000 or more annually, especially with extensive experience, advanced skills, and in high-demand industries. Roles like senior software engineers, machine learning engineers, and data scientists working in tech companies or finance often reach this compensation level through base salary, bonuses, and stock options.
What are the most commonly searched types of Computer Vision Deep Learning Engineer jobs in Atlanta, GA? The most popular types of Computer Vision Deep Learning Engineer jobs in Atlanta, GA are:
What are popular job titles related to Temporary Computer Vision Deep Learning Engineer jobs in Atlanta, GA? For Temporary Computer Vision Deep Learning Engineer jobs in Atlanta, GA, the most frequently searched job titles are:
What job categories do people searching Temporary Computer Vision Deep Learning Engineer jobs in Atlanta, GA look for? The top searched job categories for Temporary Computer Vision Deep Learning Engineer jobs in Atlanta, GA are:
ML Engineer

ML Engineer

Optimal Inc.

Embry Hills, GA โ€ข On-site

Contractor

Posted 18 days ago


Job description

Machine Learning Engineer

Job Summary

We are seeking a Machine Learning Engineer with strong expertise in machine learning, deep learning, and computer vision. The ideal candidate will have experience developing, training, and optimizing AI models and applying advanced techniques to solve real-world image processing and perception challenges.

Key Responsibilities
Design, develop, and optimize machine learning and deep learning models.
Conduct experiments, evaluate model performance, and implement improvements.
Work with large-scale datasets for training, validation, and testing.
Translate research concepts into scalable, production-ready solutions.
Collaborate with engineering and research teams to integrate AI models into applications.
Document technical approaches, experiments, and findings.

Required Qualifications
Master's degree in Computer Science, Electrical Engineering, Artificial Intelligence, Machine Learning, or a related field.
Strong foundation in machine learning, deep learning, and computer vision.
Experience with Python and frameworks such as PyTorch or TensorFlow.
Solid understanding of linear algebra, probability, statistics, and optimization.
Research experience in machine learning or AI through academic projects, thesis work, publications, or industry experience.

Preferred Qualifications
Publications in machine learning, computer vision, or AI conferences/journals.
Experience deploying machine learning models into production environments.
Familiarity with GPU computing and performance optimization