Computer Vision/Deep Learning Scientist

  • Location: Atlanta, Georgia
  • Type: Contract
  • Job #22833

Computer Vision/Deep Learning Scientist

Location: Midtown Atlanta, GA (Hybrid: 2 days in-office; fully remote available for candidates outside the metro area)

Schedule: 6-Month Contract 

We are seeking a Computer Vision/Deep Learning Scientist to collaborate across multi-functional business units, translating complex enterprise challenges into high-impact solutions. You will design, build, and deploy custom algorithms while managing the complete lifecycle from initial concepts through post-production monitoring.

Responsibilities:

  • Design, evaluate, and deploy production-ready computer vision and deep learning models.

  • Conduct end-to-end model development: requirements gathering, data evaluation, testing, and lifecycle maintenance.

  • Execute advanced techniques including image segmentation, augmentation, localization, object detection, and classification.

  • Run parallelized models on dedicated GPU clusters.

  • Mentor junior team members, guide targeted research initiatives, and assist with candidate interviews.

  • Present technical findings clearly to cross-functional partners and leadership.

Requirements:

  • 1–3+ years of relevant industry experience.

  • Strong proficiency in Python alongside frameworks like PyTorch, TensorFlow, Keras, MXNet, and OpenCV.

  • Familiarity with modern CNN architectures (e.g., ResNet, VGG16, MobileNet) and traditional image processing (skimage).

  • Degree in CS, Math, EE, Statistics, or a related field.

  • Must be authorized to work in the U.S. without sponsorship.

Offered through Visionaire Partners: Full-time W2 contractors access a comprehensive benefits package for themselves and dependents (including domestic partners). Options feature a 401(k) with up to 4% match, medical, dental, vision, life, disability, critical illness, hospital indemnity, accident coverage, and Medical/Dependent Care FSAs. On-site perks include a modern office near MARTA with covered parking and premium amenities

#LI-Hybrid

Attach a Resume file. Accepted file types are DOC, DOCX, PDF, HTML, and TXT.

We are uploading your application. It may take a few moments to read your resume. Please wait!