Technical Coordinator – Computer Vision, AI

TSA - Tecnologia de Sistemas de Automação S/A

Technical Coordinator leading computer vision and AI projects in automation and mining. Defining architecture and guiding development teams in innovative solutions.

Posted 7/8/2026full-timeBelo Horizonte • 🇧🇷 BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in computer vision and artificial intelligence, with a strong focus on developing and optimizing models for industrial automation. Proficient in Python, deep learning frameworks, and image processing technologies, while also providing technical leadership and mentoring within development teams.

Highest-signal resume keywords

Computer Vision Solutions DevelopmentDeep Learning Frameworks (PyTorch, TensorFlow)Image Processing Libraries (OpenCV)Model Evaluation and OptimizationTechnical Leadership and Mentoring

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonC++Deep LearningImage ProcessingModel Evaluation MetricsDataset Preparation and OptimizationAPIs and Microservices DevelopmentContainer-Based Architecture (Docker)SQL and NoSQL DatabasesAdvanced Linux

Soft Skills

Good Communication SkillsMentoring AbilityCollaboration with Multidisciplinary Teams

Tools & Technologies

OpenCVPyTorchTensorFlowTensorRTONNX RuntimeOpenVINONVIDIA GPUsCUDAGitCI/CD

Industry Keywords

Industrial AutomationEdge AIEmbedded SystemsIndustrial Protocols (OPC, Modbus, TCP/IP)Data AcquisitionComputer Vision ModelsTechnical ReviewsSolution ArchitectureTechnical SupportProofs of Concept (PoCs)

Tech Stack

Tools & technologies

DockerLinuxNoSQLPythonPyTorchSQLTCP/IPTensorflow

About the role

Key responsibilities & impact

Provide technical leadership for computer vision and artificial intelligence projects applied to industrial automation and mining.
Define the solution architectures, technologies, frameworks and development strategies for projects.
Specify, review and validate computer vision models for detection, classification, segmentation, tracking and analysis of images and video.
Provide technical support to the development team, serving as a reference in image processing, machine learning and deep learning.
Define methodologies for dataset preparation, training, validation, testing and continuous improvement of AI models.
Evaluate model performance, robustness, accuracy and response time, proposing improvements and new approaches when necessary.
Lead technical reviews of code, architecture and AI models.
Define development standards, documentation, versioning and best practices for the team’s projects.
Contribute to the design of solution architectures for Edge AI, on-premises servers and cloud environments.
Support hardware specification for computer vision processing (GPUs, cameras, embedded devices and servers).
Conduct proofs of concept (PoCs), technical validations and evaluation of new technologies applied to projects.
Collaborate with automation, instrumentation, software and industrial process specialists to define optimal technical solutions.
Participate in technical meetings with clients, assisting in defining scope, requirements and solution architecture.
Provide technical support for solution deployment in industrial environments and monitor their evolution.
Promote the team’s technical development by providing mentoring, training and knowledge sharing.
Monitor advances in computer vision and artificial intelligence technologies and propose adoption when applicable.

Requirements

What you’ll need

Required education: Bachelor’s degree in Engineering (Computer, Control and Automation, Electrical or similar), Computer Science, Information Systems or related fields.
Postgraduate, Master’s or PhD in Artificial Intelligence, Computer Vision, Data Science or related areas will be considered an advantage.
Solid experience developing computer vision solutions for industrial applications.
Proficiency in Python.
Experience with C++ is considered a plus.
Proficiency with OpenCV and image processing libraries.
Advanced experience with deep learning frameworks (PyTorch, TensorFlow or equivalents).
Experience with detection, segmentation, classification, tracking and pose estimation models.
Knowledge of modern architectures such as YOLO, RT-DETR, Mask R-CNN, SAM, Vision Transformers (ViT), CLIP and multimodal models.
Experience preparing, training, validating and optimizing datasets.
Knowledge of model evaluation metrics and performance optimization techniques.
Experience with inference optimization using TensorRT, ONNX Runtime, OpenVINO or equivalent technologies.
Knowledge of Edge AI and deploying models on embedded devices.
Knowledge of integration with industrial control and automation systems — preferred.
Familiarity with industrial protocols (such as OPC, Modbus, TCP/IP) — preferred.
Experience with data acquisition and integration with field devices — preferred.
Knowledge of industrial networks and data communication — preferred.
Familiarity with edge computing and embedded systems will be considered a plus.
Experience in software architecture for AI applications.
Development of APIs and microservices.
Container-based architecture (Docker).
Version control using Git.
Knowledge of CI/CD is considered a plus.
Knowledge of modeling and administration of SQL and NoSQL databases.
Familiarity with data engineering and handling large volumes of images and video.
Advanced Linux.
NVIDIA GPUs and CUDA acceleration — plus.
Administration of environments for training and inference.
Experience technically leading development teams.
Ability to define software standards and architecture.
Experience in technical review of code and AI models.
Ability to mentor junior and mid-level developers.
Experience conducting research and evaluating new technologies.
Good communication skills for interaction with clients, multidisciplinary teams and technology partners.
Intermediate English (technical reading and communication).
Spanish is a plus.

Benefits

Comp & perks

Meal allowance / food voucher
Co-participative health insurance plan
Dental plan
Transportation allowance or company-provided transportation
Life insurance
Wellhub
Psychological support provided through partners
Agreements with educational institutions offering discounts for employees and dependents
Discounts at partner stores and services.