Senior Computer Vision Engineer - Remote - Latin America - #523912

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 a Senior 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

• 5+ 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.
• Proven hands-on experience designing and deploying computer vision models in production environments.
• Expertise in image classification, object detection, segmentation, tracking, or pose estimation, with a solid understanding of CNNs, transformers, and hybrid models.
• Proficiency with Python, PyTorch or TensorFlow, and vision libraries such as OpenCV, Detectron2, YOLO, or equivalent.
• Experience training, evaluating, and optimizing models for performance, accuracy, and scalability, including dataset curation, labeling strategies, data pipelines, and model evaluation metrics.
• Experience with GDAL, Rasterio, or similar image processing libraries.
• Experience with Docker, Kubernetes, CI/CD, Git, SQL, AWS, or MLOps tools for production ML deployments.
• Experience identifying and troubleshooting issues throughout model development, testing, and deployment.
• Ability to translate complex machine learning and computer vision concepts to non-technical stakeholders and write clear documentation.
• Experience with plant phenotyping, digital agriculture, biological imaging, or related domains is a nice to have.
• Portuguese language skill is a plus.
• 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.
  
  

Nice To Have

We’re Seeking Engineers Who Are AI-enthusiastic In Their Workflow. Professional Experience Or Personal Project Work With The Following Is a Significant Plus

• Cursor, Windsurf, or Google Antigravity.
• Claude Code, Gemini CLI, Codex, or Copilot CLI.
  
  

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.
• 100% remote work.
• 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.

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