Remote Computer Vision Engineer — PyTorch & YOLO

BairesDev; Ibagué; Remote; COP 295,975,000 - 427,519,000; Full time

Benefits offered by this job

100% remote

USD or local currency pay

Hardware provided

Flexible hours

Paid parental leave

Global multicultural environment

Job summary

BairesDev is seeking a Computer Vision Engineer to build and deploy real-time object detection systems. You will take models from research to reliable production use, and collaborate with product and engineering teams to integrate vision features.

The ideal candidate has 4+ years in computer vision or ML, deep expertise with PyTorch and YOLO, Python, and deployment practices, plus excellent English. This 100% remote role offers flexible hours, competitive USD compensation, and a global,

Qualifications

• 4+ years of experience in computer vision or machine learning engineering.
• Proven expertise training and tuning deep learning models with PyTorch.
• Hands-on experience building object detection solutions with YOLO.
• Solid knowledge of convolutional neural networks, Python, and model deployment practices.
• Advanced proficiency in English.

Responsibilities

• Train and fine-tune deep learning models for detection and recognition tasks.
• Curate and label datasets that reflect real-world conditions.
• Benchmark models to balance accuracy, speed, and resource usage.
• Export and deploy models for efficient inference in production.
• Analyze errors and improve performance through targeted data and tuning.
• Collaborate with product and engineering teams to integrate vision features.

Skills

Computer Vision

PyTorch

YOLO

Python

English

Job description

BairesDev is seeking a Computer Vision Engineer to build and deploy real-time object detection systems. You will take models from research to reliable production use, and collaborate with product and engineering teams to integrate vision features.

The ideal candidate has 4+ years in computer vision or ML, deep expertise with PyTorch and YOLO, Python, and deployment practices, plus excellent English. This 100% remote role offers flexible hours, competitive USD compensation, and a global,