Overview
Remote
Contract - W2
Contract - Independent
Contract - 12+ month(s)
Skills
CO
TensorFlow
OpenCV
DLIB
image processing
visual
Job Details
TECHNOGEN, Inc. is a Proven Leader in providing full IT Services, Software Development and Solutions for 15 years.
TECHNOGEN is a Small & Woman Owned Minority Business with GSA Advantage Certification. We have offices in VA; MD & Offshore development centers in India. We have successfully executed 100+ projects for clients ranging from small business and non-profits to Fortune 50 companies and federal, state and local agencies.
Position: Visual AI Specialist
Location: Remote
Duration: 12+ months
Job Description:
We are seeking a highly skilled Visual AI Specialist to develop and optimize computer vision and AI-driven image processing solutions. The ideal candidate will have deep expertise in machine learning, deep learning, and image recognition technologies, with a passion for enhancing AI-driven visual experiences across applications.
Location: Remote
Duration: 12+ months
Job Description:
We are seeking a highly skilled Visual AI Specialist to develop and optimize computer vision and AI-driven image processing solutions. The ideal candidate will have deep expertise in machine learning, deep learning, and image recognition technologies, with a passion for enhancing AI-driven visual experiences across applications.
Key Responsibilities:
Design and implement computer vision models for image classification, object detection, and facial recognition.
Develop AI algorithms to improve image enhancement, segmentation, and automated tagging.
Utilize deep learning frameworks (TensorFlow, PyTorch, OpenCV) to train and deploy visual AI models.
Optimize image processing pipelines, ensuring high accuracy and real-time performance.
Collaborate with data scientists and software engineers to integrate AI-driven vision solutions into applications.
Research and implement state-of-the-art advancements in computer vision and AI-powered graphics processing.
Ensure compliance with data privacy and ethical AI guidelines in visual AI applications.
Design and implement computer vision models for image classification, object detection, and facial recognition.
Develop AI algorithms to improve image enhancement, segmentation, and automated tagging.
Utilize deep learning frameworks (TensorFlow, PyTorch, OpenCV) to train and deploy visual AI models.
Optimize image processing pipelines, ensuring high accuracy and real-time performance.
Collaborate with data scientists and software engineers to integrate AI-driven vision solutions into applications.
Research and implement state-of-the-art advancements in computer vision and AI-powered graphics processing.
Ensure compliance with data privacy and ethical AI guidelines in visual AI applications.
Required Skills & Qualifications:
Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or related fields.
Expertise in computer vision frameworks (OpenCV, DLIB, YOLO, etc.).
Strong programming skills in Python, C++, or TensorFlow/PyTorch.
Experience with image data preprocessing, augmentation, and annotation.
Knowledge of generative AI models, including GANs and diffusion models.
Familiarity with cloud-based AI deployments (AWS, Azure, Google Cloud).
Excellent problem-solving skills and ability to work in an agile development environment.
Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or related fields.
Expertise in computer vision frameworks (OpenCV, DLIB, YOLO, etc.).
Strong programming skills in Python, C++, or TensorFlow/PyTorch.
Experience with image data preprocessing, augmentation, and annotation.
Knowledge of generative AI models, including GANs and diffusion models.
Familiarity with cloud-based AI deployments (AWS, Azure, Google Cloud).
Excellent problem-solving skills and ability to work in an agile development environment.
Preferred Qualifications:
Prior experience in AI-powered visual search, augmented reality, or deepfake detection.
Exposure to edge computing and embedded AI solutions for real-time image recognition.
Strong knowledge of 3D computer vision, depth estimation, and synthetic image generation.
Prior experience in AI-powered visual search, augmented reality, or deepfake detection.
Exposure to edge computing and embedded AI solutions for real-time image recognition.
Strong knowledge of 3D computer vision, depth estimation, and synthetic image generation.
Best Regards,
Mateenuddin
Mateenuddin
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