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T
Technical Coordinator – Computer Vision, AI
TSA - Tecnologia de Sistemas de Automação S/ATechnical Coordinator leading computer vision and AI projects in automation and mining. Defining architecture and guiding development teams in innovative solutions.
Tech Stack
Tools & technologiesDockerLinuxNoSQLPythonPyTorchSQLTCP/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.
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
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