Remote-Eligible Computer Vision & Deep Learning Scientist

Visionaire Partners

Atlanta (GA)

Hybrid

USD 60,000 - 90,000

Full time

14 days+

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Benefits offered by this job

401(k) with up to 4% match
Medical, Dental, Vision, Life, and Dis
Dental
Vision
Life
Disability
Critical Illness
Hospital Indemnity
FSAs

Job summary

Visionaire Partners is seeking a Computer Vision/Deep Learning Scientist for a 6-month contract in Midtown Atlanta with hybrid work options. You will design and deploy production-ready CV/DL models, guide lifecycle development, and mentor junior engineers while collaborating with multiple business units to translate complex challenges into high-impact solutions.

The role requires 1–3+ years of experience, strong Python skills with PyTorch/TensorFlow/Keras, and familiarity with CNNs and image

Qualifications

  • 1–3+ years of relevant industry experience.
  • Proficiency in Python and ML frameworks (PyTorch, TensorFlow, Keras).
  • Familiarity with CNN architectures (ResNet, VGG, MobileNet) and image processing (skimage).
  • Authorized to work in the U.S. without sponsorship.

Responsibilities

  • Design, evaluate, and deploy production-ready computer vision and deep learning models.
  • Conduct end-to-end model development: requirements, data evaluation, testing, lifecycle maintenance.
  • Execute techniques including image segmentation, augmentation, localization, object detection, and classification.
  • Run parallelized models on dedicated GPU clusters.
  • Mentor junior team members and guide research initiatives.
  • Present technical findings clearly to cross-functional partners and leadership.

Skills

Python
PyTorch
TensorFlow
Keras
OpenCV
CNNs
GPU Computing

Education

Bachelor's degree in CS/Math/EE/Statistics or related field

Tools

MXNet
scikit-image (skimage)
Git

Job description

Visionaire Partners is seeking a Computer Vision/Deep Learning Scientist for a 6-month contract in Midtown Atlanta with hybrid work options. You will design and deploy production-ready CV/DL models, guide lifecycle development, and mentor junior engineers while collaborating with multiple business units to translate complex challenges into high-impact solutions.

The role requires 1–3+ years of experience, strong Python skills with PyTorch/TensorFlow/Keras, and familiarity with CNNs and image

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