AI Computer Vision Engineer - Remote - Latin America

FullStack Labs, Inc.; Comisión de Fomento de Perú; Remote; ARS 136,732,000 - 227,887,000; Full time

Job summary

FullStack Labs, Inc. is seeking an AI Computer Vision Engineer for a remote Latin America position. You will connect with U.S. clients and join client teams, collaborating with designers and engineers to deploy production CV solutions.

Requirements include 3+ years in AI/ML/CV, advanced English, a 4-year degree, and strong Python with PyTorch/TensorFlow. Expect Agile teamwork, ownership, and large-scale projects across multiple industries.

Qualifications

• 3+ years of professional experience as an AI/ML/CV engineer.
• Advanced English required.
• Four-year college degree required.
• Hands-on experience deploying CV models in production.
• Experience with image classification, object detection, segmentation, tracking, or pose estimation.
• Proficiency with Python and PyTorch or TensorFlow.
• Experience with OpenCV, Detectron2, YOLO, or equivalent.
• Understanding of CNNs, transformers, and hybrid vision models.
• Experience training, evaluating, and optimizing models for performance.
• Data pipelines, dataset curation, labeling strategies, and metrics.
• Ability to troubleshoot issues and contribute to libraries.
• CI/CD for applications; extreme ownership; Agile teams.

Responsibilities

• Join our talent network and connect with U.S. clients for flexible, project-based development work as an AI Computer Vision Engineer.
• You will integrate directly into our client's team and work alongside their existing designers and engineers on a daily basis.

Skills

Python

AI/ML Engineer

Computer Vision

Image Classification

Object Detection

Segmentation

Tracking

Pose Estimation

CNNs

Transformers

Hybrid Vision Models

Model Training & Evaluation

Data Pipelines

Dataset Curation

Troubleshooting CV models

CI/CD for apps

Agile / Scrum

Ownership Mindset

English Proficiency

Education

Bachelor's degree in CS/EE/Math

Tools

OpenCV

Detectron2

YOLO

PyTorch

TensorFlow

Job description

AI Computer Vision Engineer - Remote - Latin America

Chiclayo

Lambayeque

Latam

About FullStack

FullStack is your AI-native engineering partner, built to turn AI capability into certainty. Most companies can demo AI; few can get it to production and prove what it produced. We close that gap with three capabilities, AI built into your products from the start, elite vetted talent who apply it, and transparent execution that shows value every step of the way. With now over 600 customers in North America, FullStack is one integrated partner for all your AI engineering needs. With FullStack, you move forward with confidence.

We’re most proud of:

Offering life-changing career opportunities to talented software professionals across the Americas.

Building highly-skilled software development teams for hundreds of the world’s greatest companies.

Having delivered hundreds of successful custom software solutions, which have positively impacted the lives and careers of millions of users.

Our 4.1-star rating on GlassDoor.

Our client Net Promoter Score of 68, twice the industry average.

The Opportunity

Join our talent network and connect with U.S. clients for flexible, project-based development work as an AI Computer Vision Engineer.

You will integrate directly into our client's team and work alongside their existing designers and engineers on a daily basis.

What We're Looking For

3+ years of professional experience as an AI Engineer, Machine Learning Engineer, or Computer Vision Engineer.

Advanced English is required.

Successful completion of a four-year college degree is required.

Strong hands-on experience designing and deploying computer vision models in production environments.

Deep experience with computer vision techniques such as image classification, object detection, segmentation, tracking, or pose estimation.

Proficiency with Python and modern ML frameworks such as PyTorch or TensorFlow.

Experience working with vision libraries such as OpenCV, Detectron2, YOLO, or equivalent.

Solid understanding of deep learning architectures including CNNs, transformers, and hybrid models for vision tasks.

Experience training, evaluating, and optimizing models for performance, accuracy, and scalability.

Strong understanding of data pipelines, dataset curation, labeling strategies, and model evaluation metrics.

Experience identifying and troubleshooting issues in model development, testing, and deployment.

Ability to work through new and difficult issues and contribute to libraries as needed.

Ability to create and maintain continuous integration and delivery of applications.

Forensic attention to detail.

A positive mindset and a can-do attitude.

Experience working on Agile / Scrum teams.

Meaningful experience working on large, complex systems.

Ability to take extreme ownership over your work. Every day is a challenge to ensure you are performing to the expectations you and your team have agreed upon.

Ability to identify with the goals of FullStack's clients, and dedicate yourself to delivering on the commitments you and your team make to them.

Ability to consistently work 40 hours per week.

Work Authorization Requirements

Applicants must be currently authorized to work in the country of this job posting on a full-time basis.

FullStack will not sponsor applicants for work visas now or in the future.

What We Offer

Competitive pay.

The ability to work with leading startups and Fortune 500 companies.

Continuing education opportunities.

Opportunity to grow and expand your career.

Our talent network is committed to fostering a diverse, inclusive, and accessible environment where IT professionals can find opportunities that match their skills. We welcome individuals of all races, religions, genders, sexual orientations, national origins, abilities, and experiences. Our focus is on connecting talent with projects based on qualifications, ensuring a fair and transparent process that values diverse perspectives and global collaboration.