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Perception Engineer - Remote Work | REF#299870
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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 a Perception Engineer, you will design and implement advanced computer vision systems to help machines understand and interpret their environment. You will be responsible for building production-grade ML models that power tasks like object detection, segmentation, and classification, ensuring high accuracy and efficiency in real-world scenarios.
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 a Perception Engineer, you will design and implement advanced computer vision systems to help machines understand and interpret their environment. You will be responsible for building production-grade ML models that power tasks like object detection, segmentation, and classification, ensuring high accuracy and efficiency in real-world scenarios.
What You'll Do
- Develop and optimize deep learning models for computer vision tasks using PyTorch and OpenCV.
- Design robust pipelines for real-time object detection, image segmentation, and classification.
- Implement model training and optimization strategies to enhance performance and accuracy.
- Accelerate ML workloads leveraging GPU technologies to ensure low-latency inference.
- Collaborate with engineering teams to deploy vision models on edge devices and production environments.
- Continuously refine perception algorithms to handle diverse and dynamic environmental conditions.
- 4+ years of experience in Software Engineering, Machine Learning, or Computer Vision.
- Proven expertise in developing computer vision models for object detection, segmentation, and classification.
- Strong proficiency in Python and deep learning frameworks such as PyTorch.
- Hands-on experience with OpenCV and specialized architectures like YOLO, Detectron, or SAM.
- Proficiency in model training, optimization, and GPU acceleration techniques.
- 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!
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