AI Vision System Development Specialist
Budget: $250 – $750 USD
Computer Vision Data Scientist (AI / Deep Learning)
Company Overview:
We are an Outsourcing / Contract Specialist Team building advanced image recognition and video analytics solutions. We are seeking a Computer Vision Data Scientist to design and train visual AI systems.
Job Summary:
The role involves developing, training, and deploying deep learning models for image and video processing. You will collaborate with ML engineers to deliver production-ready vision systems.
Responsibilities:
Develop models for object detection, classification, and image segmentation.
Work with TensorFlow, PyTorch, and OpenCV.
Process and augment image datasets.
Deploy models using ONNX, TensorRT, or Docker.
Collaborate with product and AI engineering teams.
Requirements:
3+ years of experience in computer vision or deep learning.
Proficient in Python and frameworks such as PyTorch or Keras.
Experience with CNN architectures (ResNet, YOLO, EfficientNet).
Familiar with GPU training and optimization.
Preferred Skills:
Experience with real-time image processing or edge AI.
Knowledge of AWS Rekognition or Azure Cognitive Services.
Compensation:
$65–$120 per hour or $130,000–$200,000 annually.
Company Overview:
We are an Outsourcing / Contract Specialist Team building advanced image recognition and video analytics solutions. We are seeking a Computer Vision Data Scientist to design and train visual AI systems.
Job Summary:
The role involves developing, training, and deploying deep learning models for image and video processing. You will collaborate with ML engineers to deliver production-ready vision systems.
Responsibilities:
Develop models for object detection, classification, and image segmentation.
Work with TensorFlow, PyTorch, and OpenCV.
Process and augment image datasets.
Deploy models using ONNX, TensorRT, or Docker.
Collaborate with product and AI engineering teams.
Requirements:
3+ years of experience in computer vision or deep learning.
Proficient in Python and frameworks such as PyTorch or Keras.
Experience with CNN architectures (ResNet, YOLO, EfficientNet).
Familiar with GPU training and optimization.
Preferred Skills:
Experience with real-time image processing or edge AI.
Knowledge of AWS Rekognition or Azure Cognitive Services.
Compensation:
$65–$120 per hour or $130,000–$200,000 annually.