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Temporary Computer Vision Deep Learning Engineer Jobs in Atlanta, GA

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 ...

Work is seeking a talented AI/ML Engineer to design, develop, and deploy machine learning and ... Deep Learning, Natural Language Processing (NLP), Computer Vision, Generative AI concepts • ...

AI/ML engineer

Atlanta, GA · On-site

$110K - $132K/yr

Work is seeking a talented AI/ML Engineer to design, develop, and deploy machine learning and ... Deep Learning, Natural Language Processing (NLP), Computer Vision, Generative AI concepts • ...

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 ...

The ideal candidate has a strong foundation in machine learning, modern deep learning frameworks ... Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or related field ...

Senior Machine Learning Engineer

Atlanta, GA · On-site

$117K - $155K/yr

Apply neural networks and deep learning techniques using PyTorch for appropriate use cases ... Bachelor's degree in Computer Science, Data Science, Software Engineering, or a related technical ...

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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 Jul 31, 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.

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.

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:
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Re-posted 20 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