Remote Computer Vision Engineer (The Visionary Technologist)

Description:

• The Computer Vision Engineer will design, implement, and optimize computer vision systems for transformative applications across various industries.
• The role involves developing advanced computer vision algorithms for tasks such as object detection, facial recognition, image segmentation, and motion tracking using frameworks like OpenCV, TensorFlow, PyTorch, or YOLO.
• Responsibilities include creating and training deep learning models, such as CNNs and RNNs, and experimenting with architectures like ResNet, VGG, and EfficientNet.
• The engineer will develop solutions for processing and analyzing large volumes of visual data, including real-time video analytics systems and edge computing applications.
• Data preparation and preprocessing for training and evaluation will be required, including data augmentation, image normalization, and labeling.
• The role involves collaborating with software engineers and DevOps teams to deploy computer vision models into production environments using tools like Docker and Kubernetes.
• Staying updated with advancements in computer vision, deep learning, and AI is essential, as well as exploring technologies like GANs, 3D vision, AR, and edge AI.
• The engineer will work closely with cross-functional teams to integrate computer vision capabilities into products, ensuring alignment with business goals.

Requirements:

• Strong knowledge of computer vision techniques, including image classification, object detection, image segmentation, and feature extraction, with experience in libraries like OpenCV, TensorFlow, PyTorch, or Keras.
• Expertise in deep learning techniques, particularly in CNNs, RNNs, and transfer learning, with experience in building and optimizing models using architectures such as ResNet, VGG, or YOLO.
• Proficiency in Python, C++, or similar programming languages, with experience writing production-level code for building, testing, and deploying computer vision models.
• Experience deploying machine learning models into production environments using cloud platforms (AWS, GCP, Azure) and containerization tools like Docker, with an understanding of optimizing models for real-time performance.
• Hands-on experience with data annotation, augmentation, and preprocessing, with the ability to work with large datasets for training deep learning models.
• A Bachelor’s or Master’s degree in Computer Science, AI, Electrical Engineering, or a related field, with equivalent experience in computer vision or machine learning being highly valued.
• 3+ years of experience in computer vision engineering, with a proven track record of building and deploying computer vision models in real-world applications.
• Proven experience with image and video analysis, and hands-on experience developing deep learning models for vision-related tasks.
• Experience with cloud-based computer vision services (AWS Rekognition, Google Vision API, Azure Computer Vision) is highly desirable.

Benefits:

• Comprehensive medical, dental, and vision insurance plans with low co-pays and premiums.
• Competitive vacation, sick leave, and 20 paid holidays per year.
• Flexible work schedules and telecommuting options to promote work-life balance.
• Opportunities for training, certification reimbursement, and career advancement programs for professional development.
• Access to wellness programs, including gym memberships, health screenings, and mental health resources.
• Life insurance and short-term/long-term disability coverage for financial security.
• Confidential counseling and support services through an Employee Assistance Program (EAP) for personal and professional challenges.
• Financial assistance for continuing education and professional development through tuition reimbursement.
• Opportunities to participate in community service and volunteer activities for community engagement.
• Employee recognition programs to celebrate achievements and milestones.