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Temporary Computer Vision Deep Learning Engineer Jobs in Anderson, SC

Varsity Tutors

Machine Learning Tutor

Greenville, SC · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

DISHER

Vision Engineer

Greenville, SC · Remote

Vision Engineer - Remote / Travel DISHER is currently partnering with a world leading automation ... Knowledge on machine learning with AI capabilities. * Self-driven and willingness to work long ...

DISHER

Vision Engineer

Greenville, SC · Remote

Vision Engineer - Remote / Travel DISHER is currently partnering with a world leading automation ... Knowledge on machine learning with AI capabilities. * Self-driven and willingness to work long ...

Vertiv Co

Presales CAD Engineer

Pelzer, SC · On-site

If you are interested in applying or learning more about this role, please visit the company ... Individuals with temporary visas such as E, F-1, H-1, H-2, L, B, J, or TN or who need sponsorship ...

Vertiv Group Corp.

Presales CAD Engineer

Pelzer, SC · On-site

If you are interested in applying or learning more about this role, please visit the company ... Individuals with temporary visas such as E, F-1, H-1, H-2, L, B, J, or TN or who need sponsorship ...

MAPAL Group

CAD/CAM Programmer

Fountain Inn, SC · On-site

... CAD/CAM programming and machining simulation * Proficiency in CAM software such as Mastercam ... Benefit eligibility and vesting that start on your 1st day with us! (medical, vision, dental, std ...

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Temporary Computer Vision Deep Learning Engineer information

See Anderson, SC salary details

$44.4K

$111.2K

$125.9K

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

As of May 31, 2026, the average yearly pay for temporary computer vision deep learning engineer in Anderson, SC is $111,233.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,100.00 and $120,400.00 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.

Temporary Computer Vision Deep Learning Engineer jobs near you

Machine Learning Engineer II

Techtronic Industries (TTI)

Anderson, SC • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 11 hours ago

Techtronic Industries TTI rating

8.1

Company rating: 8.1 out of 10

Based on 34 frontline employees who took The Breakroom Quiz

120th of 415 rated machine equipment manufacturers

Job description

Job Description:
TTI Consumer Power Tools, Inc., has an opening in its Anderson, SC corporate office for a Electrical Machine Learning (ML) Engineer II that will report into the Sr. Director of Engineering. Come join the Engineering team at the most exciting and innovative tool company in the world!
Techtronic Industries is a fast-growing world leader in Power Tools, Accessories, Hand Tools, Outdoor Power Equipment, and Floor Care for Do-It-Yourself (DIY). The Company is committed to accelerating the transformation of these industries through superior environmentally friendly cordless technology. At TTI Anderson, our RYOBI brand is recognized worldwide for their deep heritage and cordless product platforms of superior quality, outstanding performance, safety, productivity, and compelling innovation.
Your Role On Our Team:
The Electrical ML Engineer II will identify, develop, and validate ML-enabled features for outdoor power tools within the OP EE organization. This role partners closely with cross-functional teams to translate customer needs into robust, data-driven solutions that can be demonstrated on-tool and matured toward production readiness.
Key responsibilities include framing ML use cases, designing data-collection strategies and ground-truth methods, performing data engineering and feature development, training and tuning models in Python, and executing disciplined validation to characterize accuracy, robustness, and corner cases. The engineer will also help establish and improve team workflows and guidelines covering the end-to-end ML lifecycle-from problem definition through model training, validation, and deployment considerations.
Primary Job Requirements:
  • Bachelor of Science degree in Computer Science, Computer Engineering, Electrical Engineering, or a related scientific/engineering discipline with completed coursework, certification, or specialization in Machine Learning, Data Science, or a closely related area.
  • Minimum 2 years of hands-on experience applying ML in an applied setting (e.g., embedded/edge, signal processing, sensing, or electromechanical products), including data collection and model validation.
  • Demonstrated experience applying fundamental ML approaches (e.g., supervised learning for classification/regression, feature engineering, model selection, and hyperparameter tuning).
  • Proficient in developing, debugging, and validating Python code, with experience in common libraries (NumPy, pandas, scikit-learn, Matplotlib, etc.).
  • Experience with modern software development practices and tools (Git-based workflows; familiarity with CI/CD and containers is a plus).
  • Ability to develop and debug code in an embedded environment (C/C++ preferred), including bring-up and hardware-facing troubleshooting will be a plus.
  • Basic knowledge of sensor technologies (e.g., IMUs, thermistors/temperature sensing, magnetic/optical sensing) and microcontroller interfacing.
  • Strong problem-solving and system-thinking skills, with the ability to work in a fast-paced, prototype-to-demo environment.
  • Strong technical communication skills and the ability to plan/execute work to meet project schedules.
  • Demonstrated ownership of deliverables, including understanding dependencies and collaborating effectively with cross-functional stakeholders.

We provide these great perks and benefits:
  • We offer competitive wages and a comprehensive benefits package
    • 401(k)
    • Medical/dental/vision coverage
    • Tuition assistance
    • Vacation and holidays.
  • On-site gym with a managing health and wellness professional.
  • In-house training and development staff.
  • Subsidized cafeteria and Starbucks coffee

What Techtronic Industries TTI employees say

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