OT AI Computer Vision Engineer

Strategic Staffing Solutions; Argentina; Remote; ARS 184,482,000 - 276,723,000; Full time

Benefits offered by this job

100% remote

Global projects

Job summary

Strategic Staffing Solutions is recruiting an OT Artificial Intelligence Computer Vision Engineer for a 100% remote role. You will design, develop, and deploy production‑grade computer vision solutions for industrial environments and edge devices, with a focus on inspection, safety, anomaly detection, and automation.

You will work with OpenCV, PyTorch, and TensorFlow to build CV models, manage datasets, and optimize pipelines across cloud and edge environments.

Qualifications

• 5+ years of experience developing and deploying production‑grade Computer Vision or Machine Learning solutions.
• Strong programming skills in Python and production software engineering practices (Git, testing, code reviews, CI/CD).
• Hands‑on experience with OpenCV, PyTorch, and TensorFlow.

Responsibilities

• Design, develop, train, and deploy computer vision models for object detection, classification, segmentation, tracking, and anomaly detection.
• Build and manage image and video datasets: collection, annotation, validation, and augmentation.
• Develop and optimize computer vision pipelines using Python and frameworks such as OpenCV, PyTorch, and TensorFlow.

Skills

Python programming

OpenCV

PyTorch

TensorFlow

Docker

CI/CD

Data annotation

Education

Bachelor's or Master's in CS/Engineering/AI

Tools

Git

CI/CD pipelines

Model serving

Job description

We are looking for an experienced OT Artificial Intelligence Computer Vision Engineer to design, develop, and deploy production‑grade computer vision solutions for industrial environments.

This is a hands‑on engineering role focused on developing AI‑powered vision systems for industrial inspection, safety monitoring, asset condition assessment, anomaly detection, and automation. The ideal candidate will have strong experience building and deploying computer vision models, optimizing image and video processing pipelines, and ensuring reliable performance in real‑world operational environments.

Key Responsibilities

• Design, develop, train, and deploy computer vision models for object detection, classification, segmentation, tracking, and anomaly detection.
• Build and manage image and video datasets, including data collection, annotation, validation, and augmentation.
• Develop and optimize computer vision pipelines using Python and frameworks such as OpenCV, PyTorch, and TensorFlow.
• Evaluate camera requirements, image quality, lighting, resolution, and environmental conditions to ensure reliable model performance.
• Deploy and maintain computer vision solutions across industrial edge devices, cameras, robots, drones, and cloud environments.
• Optimize models for accuracy, latency, processing speed, memory, and computational efficiency.
• Implement monitoring, performance evaluation, model versioning, and retraining processes to maintain production reliability.
• Integrate computer vision solutions with industrial systems, operational workflows, and monitoring platforms.
• Collaborate with OT engineers, data scientists, machine learning engineers, architects, and cybersecurity teams.
• Document model performance, deployment procedures, technical configurations, and operational requirements.

Required Qualifications

• 5+ years of experience developing and deploying production‑grade Computer Vision or Machine Learning solutions.
• Strong programming skills in Python and experience with production software engineering practices, Git, testing, code reviews, and CI/CD.
• Hands‑on experience with computer vision and deep learning frameworks such as OpenCV, PyTorch, and TensorFlow.
• Experience developing models for object detection, classification, segmentation, tracking, and visual anomaly detection.
• Experience preparing and managing image and video datasets, including data collection, annotation, validation, and versioning.
• Experience deploying and monitoring machine learning models using Docker, APIs, model registries, and MLOps practices.
• Understanding of camera configuration, image resolution, frame rates, lighting, and environmental factors affecting computer vision performance.
• Knowledge of Operational Technology (OT) environments, industrial networks, and cybersecurity principles.
• Experience troubleshooting and maintaining production computer vision solutions, including performance monitoring and continuous improvement.
• Strong analytical, problem‑solving, collaboration, and communication skills.

Preferred Qualifications

• Experience with Azure AI services, Azure Machine Learning, or Azure AI Vision.
• Experience delivering computer vision solutions in industrial environments, particularly Oil & Gas.
• Experience with industrial inspection, PPE detection, equipment monitoring, corrosion, leak detection, or safety monitoring.
• Experience with edge AI deployments, GPU acceleration, ONNX, TensorRT, model quantization, or optimization.
• Experience working with thermal imaging, infrared cameras, drones, robotics, or autonomous systems.
• Bachelor's or Master's degree in Computer Science, Computer Engineering, Robotics, Artificial Intelligence, or a related field.

What We Offer

• 100% remote.
• Opportunity to work on global enterprise projects with an international team.