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ML Engineer (Vision) - Remote Work | REF#299868
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Resumen
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 an ML Engineer (Vision), 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 actionable intelligence, ensuring high-performance execution of detection and segmentation algorithms.
What You'll Do
Apply now!
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 an ML Engineer (Vision), 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 actionable intelligence, ensuring high-performance execution of detection and segmentation algorithms.
What You'll Do
- Develop and optimize production-ready computer vision models for object detection, segmentation, and OCR.
- Build and maintain end-to-end vision pipelines using Python, PyTorch, and OpenCV.
- Implement model training and optimization strategies to ensure high accuracy and efficient resource usage.
- Scale visual AI workflows across diverse environments, including GPU-accelerated and edge deployment scenarios.
- Collaborate with cross-functional teams to integrate vision capabilities into broader machine learning applications.
- Monitor and refine model performance in production to address data drift and maintain system reliability.
- 4+ years of experience in Machine Learning Engineering with a focus on Computer Vision.
- Proven expertise in object detection, segmentation, and classification using YOLO, Detectron, or SAM.
- Proficiency in Python and deep learning frameworks such as PyTorch.
- Hands-on experience with OpenCV for image processing and manipulation.
- Experience with model training, optimization, and GPU acceleration for high-performance applications.
- Advanced proficiency in English.
- 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.
Apply now!
Requerimientos
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