Computer Vision Engineer

Job Title: Computer Vision Engineer
Location: Remote – Colombia
Type of Contract: Full-Time | Remote | Contractor
Salary Range: Market Rates
Language Requirements: English (Professional/Fluent)

We are seeking a skilled Computer Vision Engineer with strong experience in deep learning and image/video analysis to join our growing team. You will play a key role in designing, building, and deploying production-grade computer vision systems that power intelligent products and data-driven automation. Your work will directly impact how the organization extracts insights from visual data, improves operational efficiency, and delivers scalable AI solutions.

Key Responsibilities

• Design, develop, and deploy end-to-end computer vision pipelines for image and video processing use cases.

• Build and train deep learning models for object detection, classification, segmentation, and tracking.

• Implement and optimize models using frameworks such as PyTorch or TensorFlow for performance and accuracy.

• Develop data preprocessing, augmentation, and labeling workflows to support large-scale vision datasets.

• Integrate computer vision models into production systems via APIs, microservices, or edge deployments.

• Optimize inference performance for real-time or resource-constrained environments.

• Collaborate with ML engineers, data scientists, and product teams to translate business requirements into scalable vision solutions.

Must-Have Qualifications

• 3+ years of experience in computer vision, machine learning, or applied AI engineering.

• Strong proficiency in Python and computer vision libraries such as OpenCV, NumPy, and PIL.

• Hands-on experience with deep learning frameworks (PyTorch, TensorFlow, or equivalent).

• Solid understanding of CNN-based architectures and modern vision models.

• Experience working with image and video datasets, including data preparation and evaluation.

• Familiarity with deploying ML models into production environments.

• Ability to work independently and communicate effectively in a remote, distributed team.

Preferred Qualifications

• Experience with cloud platforms (AWS, Azure, or GCP) for model training and deployment.

• Familiarity with MLOps practices, model monitoring, and performance optimization.

• Experience with real-time or edge-based computer vision systems.

• Background in industries such as manufacturing, healthcare, retail, or security.