CV Engineer
At BairesDev®, we've been leading the way in technology projects for over 15 years. We deliver cutting-edge solutions to giants like Google and the most innovative startups in Silicon Valley. Our diverse 4,000+ team, composed of the world's Top 1% of tech talent, works remotely on roles that drive significant impact worldwide. When you apply for this position, you're taking the first step in a process that goes beyond the ordinary. We aim to align your passions and skills with our vacancies, setting you on a path to exceptional career development and success. As a CV Engineer, you will design and implement advanced computer vision models to solve complex visual recognition challenges. You will act as the link between raw visual data and intelligent decision-making, developing algorithms for object detection, segmentation, and classification to power innovative software solutions.
What You'll Do
• Design and develop robust computer vision algorithms and deep learning models using PyTorch and OpenCV.
• Implement state-of-the-art architectures for object detection and segmentation, such as YOLO, Detectron, or SAM.
• Manage the end-to-end model lifecycle, including training, fine-tuning, and optimization for high performance.
• Optimize computer vision workflows for GPU acceleration and, when required, deploy models to edge devices.
• Collaborate with cross-functional teams to curate and annotate high-quality datasets for model evaluation.
• Ensure model accuracy and reliability through rigorous testing and performance monitoring in production environments. What We Are Looking For
• 4+ years of experience in Machine Learning with a focus on Computer Vision.
• Proficiency in Python and deep learning frameworks like PyTorch.
• Hands-on experience with Computer Vision libraries such as OpenCV and architectures like YOLO.
• Proven expertise in training, optimizing, and deploying models, including GPU acceleration.
• Experience with image processing tasks such as object detection, segmentation, and classification.
• Advanced proficiency in English. How we do make your work (and your life) easier:
• 100% remote work (from anywhere).
• Excellent compensation in USD or your local currency if preferred
• Hardware and software setup for you to work from home.
• Flexible hours: create your own schedule.
• Paid parental leaves, vacations, and national holidays.
• Innovative and multicultural work environment: collaborate and learn from the global Top 1% of talent.
• Supportive environment with mentorship, promotions, skill development, and diverse growth opportunities. Join a global team where your unique talents can truly thrive and make a significant impact Apply now
What You'll Do
• Design and develop robust computer vision algorithms and deep learning models using PyTorch and OpenCV.
• Implement state-of-the-art architectures for object detection and segmentation, such as YOLO, Detectron, or SAM.
• Manage the end-to-end model lifecycle, including training, fine-tuning, and optimization for high performance.
• Optimize computer vision workflows for GPU acceleration and, when required, deploy models to edge devices.
• Collaborate with cross-functional teams to curate and annotate high-quality datasets for model evaluation.
• Ensure model accuracy and reliability through rigorous testing and performance monitoring in production environments. What We Are Looking For
• 4+ years of experience in Machine Learning with a focus on Computer Vision.
• Proficiency in Python and deep learning frameworks like PyTorch.
• Hands-on experience with Computer Vision libraries such as OpenCV and architectures like YOLO.
• Proven expertise in training, optimizing, and deploying models, including GPU acceleration.
• Experience with image processing tasks such as object detection, segmentation, and classification.
• Advanced proficiency in English. How we do make your work (and your life) easier:
• 100% remote work (from anywhere).
• Excellent compensation in USD or your local currency if preferred
• Hardware and software setup for you to work from home.
• Flexible hours: create your own schedule.
• Paid parental leaves, vacations, and national holidays.
• Innovative and multicultural work environment: collaborate and learn from the global Top 1% of talent.
• Supportive environment with mentorship, promotions, skill development, and diverse growth opportunities. Join a global team where your unique talents can truly thrive and make a significant impact Apply now