Remote Perception Engineer: Real-Time Computer Vision & ML

BairesDev; Peru (IL); On-site; USD 110,000 - 160,000; Full time

Benefits offered by this job

Remote work 100%

USD compensation

Home office setup

Flexible hours

Parental leave

Global mentorship

Career growth

Job summary

BairesDev is seeking a Perception Engineer to design and implement production-grade computer vision systems. You will build ML models for object detection, segmentation, and classification, aiming for high accuracy and low latency in real-world deployments.

Join a global, remote-friendly team delivering impactful results for major tech giants and startups alike. The role emphasizes edge deployment, GPU-accelerated inference, and ongoing algorithm refinement in a flexible, growth-minded

Qualifications

• 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 architectures like YOLO, Detectron, or SAM.
• Proficiency in model training, optimization, and GPU acceleration techniques.
• Advanced proficiency in English.

Responsibilities

• 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.

Skills

Python

PyTorch

OpenCV

YOLO

Detectron

SAM

Tools

OpenCV

Job description

BairesDev is seeking a Perception Engineer to design and implement production-grade computer vision systems. You will build ML models for object detection, segmentation, and classification, aiming for high accuracy and low latency in real-world deployments.

Join a global, remote-friendly team delivering impactful results for major tech giants and startups alike. The role emphasizes edge deployment, GPU-accelerated inference, and ongoing algorithm refinement in a flexible, growth-minded