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Full Time Computer Vision Deep Learning Engineer Jobs in Clayton, GA

Addison Energy Technologies, LLC

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Estimator/Pre-Engineer

Toccoa, GA · On-site

Learn and utilize our CAD software to prepare project documentation * Maintain organized estimate ... Health, dental, and vision insurance * 401(k) * Paid holidays and paid time off * Career ...

Linamar

Laser Programmer & Operator

Cornelia, GA

$16.75 - $20.75/hr

Develop and modify laser table programs using G-code, CAD/CAM software or nesting software ... Employee Benefits package includes but not limited to, Drug, Dental & Vision etc. * Opportunities ...

Linamar

Laser Programmer & Operator

Cornelia, GA · On-site

$16.75 - $20.75/hr

Develop and modify laser table programs using G-code, CAD/CAM software or nesting software ... Employee Benefits package includes but not limited to, Drug, Dental & Vision etc. * Opportunities ...

Chartwells HE

BARISTA (FULL TIME)

Demorest, GA · On-site

$14/hr

Our careers are filled with purpose and encourage learning, growth, and meaningful impact. Apply ... Dental * Vision * Life Insurance/AD * Disability Insurance * Commuter Benefits * Employee ...

Chartwells HE

COOK (FULL TIME)

Toccoa Falls, GA · On-site

$17/hr

Our careers are filled with purpose and encourage learning, growth, and meaningful impact. Apply ... Dental * Vision * Life Insurance/AD * Disability Insurance * Commuter Benefits * Employee ...

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All JobsComputer Vision Deep Learning Engineer JobsFull Time Computer Vision Deep Learning Engineer JobsFull Time Computer Vision Deep Learning Engineer Jobs in Clayton, GA

Full Time Computer Vision Deep Learning Engineer information

See Clayton, GA salary details

$43.1K

$108.1K

$122.3K

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

As of Jul 31, 2026, the average yearly pay for full time computer vision deep learning engineer in Clayton, GA is $108,091.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,200.00 and $117,000.00 per year, depending on experience, location, and employer.

What is the difference between Full Time Computer Vision Deep Learning Engineer vs Machine Learning Engineer?

AspectFull Time Computer Vision Deep Learning EngineerMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, AI, or related; experience with CV and DL frameworksBachelor's or Master's in CS, Data Science, or related; strong programming skills
Work EnvironmentResearch labs, tech companies, AI startups focusing on visual dataTech firms, finance, healthcare, focusing on predictive models
Industry UsagePrimarily in computer vision, robotics, autonomous vehiclesBroader, including NLP, recommendation systems, predictive analytics

The main difference is that Full Time Computer Vision Deep Learning Engineers specialize in visual data analysis using deep learning, while Machine Learning Engineers work on a wider range of predictive models across various data types. Both roles require strong programming skills and knowledge of ML frameworks, but their focus areas and applications differ.

What cities near Clayton, GA are hiring for Full Time Computer Vision Deep Learning Engineer jobs? Cities near Clayton, GA with the most Full Time Computer Vision Deep Learning Engineer job openings:
Full Time Computer Vision Deep Learning Engineer jobs near you

Plant Engineer - Paper Mill

Sustainable Corrugated & Jackson Paper

Sylva, NC

Full-time

Re-posted 19 days ago

Job description

Position Summary

The Plant Engineer is a technical leader in the Sylva facility. This role is responsible for the optimization, monitoring, and continuous improvement of the entire manufacturing lifecycle-from the intake of recycled fiber (OCC) to the final output of high-quality rollstock, cardboard filler, and liner.

The ideal candidate blends hands-on mechanical design for machine upgrades and facility repairs with deep analytical expertise in papermaking chemistry and process efficiency. You will ensure that Jackson Paper remains at the forefront of sustainable manufacturing by maximizing yield, ensuring environmental compliance, and maintaining a "Safety First" culture.

Key Responsibilities

1. Process Optimization & Facility Evolution

  • Machine Upgrades & Design: Lead the design and implementation of mechanical and structural upgrades to the paper machine. Oversee facility repairs and improvements to ensure the 100-year-old infrastructure meets modern production demands.
  • Runnability & Speed: Develop strategies to increase paper machine speed and Overall Equipment Effectiveness (OEE) without compromising product specifications.
  • Efficiency Analysis: Proactively analyze process data to identify bottlenecks, energy consumption leaks, and areas for yield improvement.

2. Recycled Fiber & Stock Preparation

  • Pulping & Cleaning: Optimize the pulping, screening, and detrashing processes to maximize fiber recovery and contamination removal.
  • Contaminant Control: Implement aggressive strategies to reduce "stickies," plastics, and non-fibrous contaminants in the stock.
  • Water Loop Management: Monitor the white water loop to minimize freshwater intake and optimize wastewater discharge/sludge disposal.

    3. Safety, Environmental & Leadership

    • Safety Excellence: Integrate safety-by-design into all facility repairs and upgrades. Ensure 100% adherence to OSHA standards and mill-specific safety protocols.
    • Environmental Stewardship: Ensure all operations comply with local, state, and federal regulations regarding air, water, and solid waste.
    • Strategic Reporting: Manage and report on key process performance indicators (KPIs) to management and regulatory bodies.

    Qualifications

    • Education: Bachelor's degree in Mechanical Engineering, Chemical Engineering, or Pulp and Paper Science preferred.
    • Experience: 3-5+ years of engineering experience in a heavy industrial, continuous manufacturing environment. Specific experience with recycled fiber or OCC (Old Corrugated Containers) is highly preferred.
    • Technical Proficiency: * Expertise in papermaking principles and stock preparation.
      • Proficiency in CAD software (AutoCAD/SolidWorks) for design and facility layout.
      • Familiarity with Distributed Control Systems (DCS) and process instrumentation.
    • Core Competencies: * Project Management: Proven ability to lead capital projects from budget/design to installation.
      • Analytical Logic: Skilled in Statistical Process Control (SPC) and systematic troubleshooting.
      • Communication: Able to present complex engineering data clearly to both maintenance crews and executive leadership.

    What We Offer

    • A pivotal role in a stable, sustainable manufacturing legacy.
    • The opportunity to drive large-scale modernization projects for a critical community asset.
    • Competitive salary, comprehensive benefits, and a culture that prioritizes character, ownership, and technical excellence.
    Employment Type: FULL_TIME

    Apply