Remote ML Vision Engineer | Computer Vision Pipelines

BairesDev; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Remote work 100%

Competitive USD compensation

Home office setup

Flexible hours

Parental leave & holidays

Global Top 1% talent environment

Mentorship & growth opportunities

Job summary

BairesDev is seeking an ML Engineer (Vision) to design and implement advanced computer vision models that translate raw visual data into actionable intelligence. You will optimize detection and segmentation algorithms for production use and collaborate with a global, 100% remote team.

You will work with Python, PyTorch, and OpenCV to build scalable vision pipelines, deploy across GPU and edge environments, and ensure high accuracy while maintaining efficiency.

Qualifications

• 4+ years of experience in ML engineering with a focus on computer vision.
• Experience with object detection, segmentation, and classification (YOLO, Detectron, or SAM).
• Proficiency in Python and deep learning frameworks such as PyTorch.
• Hands-on experience with OpenCV for image processing.
• Experience with model training, optimization, and GPU acceleration.
• Advanced proficiency in English.

Responsibilities

• Develop and optimize production-ready CV models for 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 ML applications.
• Monitor and refine model performance in production to address data drift and maintain system reliability.

Skills

4+ years experience

English proficiency

Tools

Python

PyTorch

OpenCV

Job description

BairesDev is seeking an ML Engineer (Vision) to design and implement advanced computer vision models that translate raw visual data into actionable intelligence. You will optimize detection and segmentation algorithms for production use and collaborate with a global, 100% remote team.

You will work with Python, PyTorch, and OpenCV to build scalable vision pipelines, deploy across GPU and edge environments, and ensure high accuracy while maintaining efficiency.