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Junior Computer Vision Jobs in Georgia (NOW HIRING)

Home Depot

Senior Data Scientist, Delivery

Atlanta, GA · On-site

Provide mentoring and coaching to more junior roles to support their technical competencies ... Proficient in Prescriptive Modeling like optimization, computer vision, recommendation, search or ...

Home Depot

Principal Data Scientist - CX

Atlanta, GA · On-site

Provide mentoring and coaching to more junior roles to support their technical competencies ... optimization, computer vision, recommendation, search or NLP; Network with both academic and ...

Capgemini

Oracle Junior SCM Consultant

Atlanta, GA · On-site

$46K - $111K/yr

Bachelor's degree in Computer Science, Engineering, Information Systems, or related field * 1-2 ... vision coverage (or provincial healthcare coordination in Canada) * Retirement savings plans (e.g ...

Capgemini

Oracle Junior Finance Consultant

Atlanta, GA · On-site

$43K - $105K/yr

Bachelor's degree in Computer Science, Engineering, Information Systems, or related field * 1-2 ... Medical, dental, and vision coverage (or provincial healthcare coordination in Canada) * Retirement ...

United Airlines

Oracle Junior SCM Consultant

Atlanta, GA · On-site

$46K - $111K/yr

Bachelor's degree in Computer Science, Engineering, Information Systems, or related field * 1-2 ... Medical, dental, and vision coverage (or provincial healthcare coordination in Canada) * Retirement ...

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All JobsComputer Vision JobsJunior Computer Vision JobsJunior Computer Vision Jobs in Georgia

Junior Computer Vision information

What is a junior computer vision?

Junior Computer Vision Engineers are entry-level professionals who work on developing and implementing algorithms that allow computers to interpret and process visual information from the world, such as images and videos. They typically assist in building models for tasks like object detection, image classification, and facial recognition. These engineers often work under the guidance of senior team members, helping with data preprocessing, model training, and performance evaluation. The role requires a foundation in programming, mathematics, and machine learning, as well as familiarity with libraries like OpenCV or TensorFlow.

What are the key skills and qualifications needed to thrive as a junior computer vision?

To thrive as a Junior Computer Vision Engineer, you need a solid background in mathematics, programming (especially Python or C++), and a relevant degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), OpenCV, and experience working with image processing libraries are commonly required. Strong problem-solving abilities, attention to detail, and the ability to communicate complex concepts clearly are valuable soft skills. These competencies are crucial for developing accurate computer vision models and collaborating effectively within multidisciplinary engineering teams.

What are some common challenges faced by junior computer vision engineers in their first year on the job?

Junior Computer Vision engineers often encounter challenges such as bridging the gap between academic knowledge and real-world application, dealing with large and noisy datasets, and optimizing models for performance and accuracy. They may also need to quickly learn new frameworks or libraries and adapt to the fast-paced development cycles typical in tech environments. Collaboration with data scientists, software engineers, and product teams is essential, so developing strong communication skills and the ability to work in interdisciplinary teams is key to success.

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

AspectJunior Computer VisionJunior Machine Learning Engineer
Required CredentialsBachelor's in CS, Electrical Engineering, or related; knowledge of image processingBachelor's in CS, Data Science, or related; understanding of algorithms and data modeling
Work EnvironmentResearch labs, tech companies, AI startups focusing on image/video analysisTech firms, startups, or research centers working on predictive models and data pipelines
Employer & Industry UsageUsed in industries like robotics, surveillance, autonomous vehiclesApplied across finance, healthcare, e-commerce, and tech sectors

Junior Computer Vision roles focus on developing algorithms for image and video analysis, often requiring knowledge of computer vision libraries. Junior Machine Learning Engineers work on building predictive models across various data types. While both roles require programming skills and foundational knowledge of algorithms, their focus areas differ, with computer vision emphasizing visual data and machine learning covering broader data applications.

What are the most commonly searched types of Computer Vision jobs in Georgia?

The most popular types of Computer Vision jobs in Georgia are:

What are popular job titles related to Junior Computer Vision jobs in Georgia?

For Junior Computer Vision jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Junior Computer Vision jobs in Georgia look for?

The top searched job categories for Junior Computer Vision jobs in Georgia are:

What cities in Georgia are hiring for Junior Computer Vision jobs?

Cities in Georgia with the most Junior Computer Vision job openings:

Junior Computer Vision jobs near you
Infographic showing various Junior Computer Vision job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 16% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

Principal AI Engineer

Atlanta, GA

Manhattan Associates
Software Development • 1 - 5K employees
Learn more about Manhattan Associatesexternal

Full-time

Re-posted 13 days ago

Job description

We create possibilities that move life and commerce forward

Welcome to Manhattan. Every day, our supply chain commerce technology connects two billion people to 20 billion consumer choices. In the warehouse, on the road and in the store, we make what was once impossible, possible. If you want to tackle complex problems and redefine markets, you've come to the right place.

Principal AI Engineer is a senior technical leader responsible for designing, developing, and guiding the implementation of advanced artificial intelligence systems that support business goals. They combine deep expertise in machine learning, data science, and software engineering with strategic leadership to drive AI initiatives across an organization. They will drive the adoption of AI solutions by evangelizing their value, educating stakeholders, and guiding teams to integrate scalable and responsible AI capabilities into products and business processes.

MINIMUM REQUIREMENTS -

  • 7+ years of industry experience in software engineering, machine learning, or AI roles, with a focus on developing, deploying, and scaling ML/AI solutions.
  • 3+ years of proven experience in designing large-scale AI systems and defining technical roadmaps.
  • Strong experience developing AI-driven workflows using eknowledge platforms, and AI agent frameworks such as Microsoft Copilot, Glean, and Google Agentspace
  • Deep knowledge of:
    • Machine Learning (classification, regression, clustering, recommendation systems)
    • Deep Learning (CNNs, RNNs, Transformers, GANs)
    • Natural Language Processing (BERT, GPT, LLM fine-tuning)
    • Computer Vision (YOLO, ResNet, object tracking, OCR)
  • Expertise in:
    • Python and relevant ML libraries (TensorFlow, PyTorch, Scikit-learn, Hugging Face)
    • Data engineering and pipeline development (Airflow, Spark, ETL systems)
    • MLOps, model lifecycle management, and production-grade deployment
    • Cloud platforms (AWS/GCP/Azure), containerization (Docker), orchestration (Kubernetes)
  • Track record of scaling ML models from experimentation to production across teams or business units.
  • Design and implement integrations using Model Context Protocol to connect AI models with external tools, APIs, and data sources.
  • Demonstrated ability to set research and development direction based on business needs.
  • Possesses and applies moderate to complex knowledge of particular product or platform to the completion of assignments
  • 3+ years experience interfacing and partnering with vendors
  • 3+ years experience assisting in strategy/roadmap and planning
  • Strong communication skills and ability to communicate at all levels of the organization (technical and business)
  • 2+ years experience leading/mentoring more junior staff members
  • Highly self-motivated, directed, ability to work independently and be results-driven
  • 5+ years experience with SharePoint for document management and sharing
  • 5+ years experience with IT ticketing software (Quality Center, ServiceNow, JIRA)
  • 3+ years experience in agile/waterfall software delivery methodologies
  • 3+ years experience using Jira, Bitbucket and Confluence agile toolsets or similar
  • 5+ years experience working with small, geographically distributed teams
  • 5+ years experience working both independently and in a team oriented, collaborative environment
  • Ability to be flexible while delivering assignments with understanding that deliverables may change based on business needs

EDUCATION REQUIREMENTS -

  • Bachelor's degree or foreign equivalent in computer science, engineering or related field or equivalent work experience

Principal Duties and Responsibilities -

  • AI Architecture & Strategy: Design scalable AI/ML architectures and define long-term AI technology strategy aligned with business objectives.
  • Model Development: Lead development of machine learning, deep learning, and generative AI models for production environments.
  • Technical Leadership: Mentor AI engineers, data scientists, and ML engineers; set engineering standards and best practices.
  • Research & Innovation: Evaluate emerging AI technologies and integrate cutting-edge methods into products and platforms.
  • Production Deployment: Oversee model deployment, monitoring, optimization, and lifecycle management in cloud or on-prem environments.
  • Cross-Functional Collaboration: Work closely with product managers, data engineers, and business stakeholders to translate requirements into AI solutions
  • Responsible AI & Governance: Ensure ethical AI practices, model explainability, fairness, privacy, and regulatory compliance.
  • Performance Optimization: Improve model accuracy, efficiency, scalability, and reliability for enterprise-scale systems.

ADDITIONAL CHARACTERISTICS -

  • Independently performs assignments to achieve stated objective. Determines and develops approach to solutions
  • Receives technical guidance only on unusual or complex problems or issues
  • May be responsible for entire projects having moderate to complex scope/impact or portions of projects having considerable scope/impact
  • Uses judgment and discretion to determine work priorities, receiving little instruction from others

#LI-JM1

Committed to diversity and inclusion

At Manhattan, it's about more than just the work. From cultural celebrations to interest groups to volunteer opportunities, your true self is always welcome here. Our team members' backgrounds, experiences and perspectives add to us as a whole and make us unique.

We are proudly an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a veteran. In the United States, Manhattan Associates participates in the Employment Eligibility Verification Program (E-Verify) operated by the Department of Homeland Security in partnership with the Social Security Administration. Participation in the E-Verify Program allows Manhattan to confirm the employment eligibility of all newly hired employees after the Employment Eligibility Verification Form (Form I-9) has been completed.

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