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About FullStack
FullStack is the most transparent IT talent network, connecting highly skilled individuals with top global companies and Silicon Valley startups for remote, on-demand projects. We focus on building a trusted, high-performance network where talent can thrive in a positive, respectful, and supportive environment. By prioritizing transparency, fair opportunities, and professional growth, we empower our engineers to deliver their best work while collaborating with innovative teams worldwide.
We’re Most Proud Of
Join our talent network and connect with U.S. clients for flexible, project-based development work as an AI Computer Vision Engineer.
Learn more about our Applicants Privacy Notice.
FullStack is the most transparent IT talent network, connecting highly skilled individuals with top global companies and Silicon Valley startups for remote, on-demand projects. We focus on building a trusted, high-performance network where talent can thrive in a positive, respectful, and supportive environment. By prioritizing transparency, fair opportunities, and professional growth, we empower our engineers to deliver their best work while collaborating with innovative teams worldwide.
We’re Most Proud Of
- Offering life-changing opportunities for talented software professionals across the Americas.
- Enhancing highly-skilled software development teams of hundreds of the world’s greatest companies.
- Our 4.2-star rating on GlassDoor.
- Our client Net Promoter Score of 68, twice the industry average.
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.
- 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.
- Competitive pay.
- 100% remote work.
- The ability to work with leading startups and Fortune 500 companies.
- Continuing education opportunities.
- Opportunity to grow and expand your career.
Learn more about our Applicants Privacy Notice.
Key Skills
Ranked by relevance
computer vision
ai
continuous integration
machine learning
deep learning
pytorch
python
scrum
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- Posted
- Feb 10, 2026
- Type
- Full-time
- Level
- Associate
- Location
- Buenos Aires
- Company
- FullStack
Industries
IT Services
IT Consulting
Computer
Network Security
Information Services
Categories
Engineering
Information Technology
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