Computer Vision Engineer - The Visual Intelligence Architect

October 17

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Unreal Staffing, Inc

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Description

• Are you passionate about teaching machines to see, interpret, and understand the visual world? • Do you thrive on applying computer vision techniques to solve complex real-world problems? • Work with large datasets, develop cutting-edge computer vision algorithms, and implement solutions. • You’ll work alongside a talented team of engineers and data scientists. • Design and implement computer vision algorithms using state-of-the-art techniques such as CNNs. • Preprocess and analyze image and video data to develop models. • Train deep learning models for tasks like object detection and image classification. • Evaluate model performance using metrics such as accuracy, precision, recall, and F1-score. • Partner with data scientists, software engineers, and product managers to understand business requirements. • Keep up with the latest research and advancements in computer vision and deep learning.

Requirements

• Computer Vision Expertise: Strong knowledge of computer vision techniques, including object detection, image segmentation, optical flow, 3D reconstruction, and facial recognition. • Programming and Tools: Proficiency in Python and experience with computer vision frameworks and libraries like OpenCV, TensorFlow, PyTorch, or Keras. • Data Processing and Feature Engineering: Expertise in processing and augmenting large datasets for computer vision tasks. • Deployment Experience: Experience deploying computer vision models in production environments using cloud platforms (AWS, GCP, Azure) or on edge devices. • Research and Innovation: Interest in exploring and applying new research in computer vision and deep learning.

Benefits

• Health and Wellness: Comprehensive medical, dental, and vision insurance plans with low co-pays and premiums. • Paid Time Off: Competitive vacation, sick leave, and 20 paid holidays per year. • Work-Life Balance: Flexible work schedules and telecommuting options. • Professional Development: Opportunities for training, certification reimbursement, and career advancement programs. • Wellness Programs: Access to wellness programs, including gym memberships, health screenings, and mental health resources. • Life and Disability Insurance: Life insurance and short-term/long-term disability coverage. • Employee Assistance Program (EAP): Confidential counseling and support services for personal and professional challenges. • Tuition Reimbursement: Financial assistance for continuing education and professional development. • Community Engagement: Opportunities to participate in community service and volunteer activities. • Recognition Programs: Employee recognition programs to celebrate achievements and milestones.