Senior Computer Vision Engineer - Remote, Production-Ready

FullStack; Concepcion; A distancia; CLP 112.570.000 - 178.236.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive pay

100% remote work

Work with startups and Fortune 500s

Continuing education opportunities

Career growth opportunities

Descripción de la vacante

FullStack is seeking a Senior Computer Vision Engineer to join our talent network and work on flexible, project-based development for U.S. clients. You will integrate with client teams, deploying and maintaining vision models in production alongside designers and engineers.

Expect 5+ years of CV/AI experience, advanced English, and a four-year degree. Proficiency in Python, PyTorch/TF, OpenCV, and MLOps tools is required for success in production ML deployments.

Formación

• Five or more years designing and deploying computer vision models in production.
• Strong understanding of CNNs, transformers, and hybrid models.
• Proficient in Python with PyTorch or TensorFlow and OpenCV-based workflows.
• Experience with model evaluation, data pipelines, labeling strategies, and MLOps.
• Excellent written and verbal English communication.

Responsabilidades

• Integrate into client teams and collaborate with designers and engineers daily.
• Design, deploy, and optimize computer vision models for production.
• Translate ML concepts for non-technical stakeholders and document solutions.

Conocimientos

Python

PyTorch

TensorFlow

OpenCV

Detectron2

YOLO

CNNs

Transformers

Image classification

Object detection

Segmentation

Agile/Scrum

English communication

Educación

Bachelor's degree

Herramientas

Docker

Kubernetes

CI/CD

Git

SQL

AWS

MLOps tools

Descripción del empleo

FullStack is seeking a Senior Computer Vision Engineer to join our talent network and work on flexible, project-based development for U.S. clients. You will integrate with client teams, deploying and maintaining vision models in production alongside designers and engineers.

Expect 5+ years of CV/AI experience, advanced English, and a four-year degree. Proficiency in Python, PyTorch/TF, OpenCV, and MLOps tools is required for success in production ML deployments.