Computer Vision / Deep Learning Scientist – Senior
We are seeking a Senior Computer Vision / Deep Learning Scientist to design, develop, and deploy advanced computer vision and deep learning solutions for unique, high-impact applications. The successful candidate will combine strong theoretical knowledge with hands-on industry experience to develop novel algorithms, custom deep learning architectures, and production-ready machine learning solutions. This role will be a key contributor to a Digital Train Inspection project, applying computer vision and deep learning techniques to analyze visual data and support automated inspection capabilities.
The Senior Scientist will own the model development lifecycle from requirements gathering and data evaluation through model development, validation, production integration, and post-production support. The role requires close collaboration with application development teams, business stakeholders, and senior leadership, as well as the ability to provide technical guidance to junior team members and lead targeted research initiatives.





Hybrid schedule: Two days onsite each week for candidates located in the Atlanta area.
Fully remote option available for candidates located outside the Atlanta area.

Evaluate model accuracy, robustness, quality, and performance, as well as the quality and suitability of underlying data sources.
Develop clean, scalable, maintainable, and production-ready Python and machine learning code.
Partner with application development teams to integrate computer vision and deep learning models into existing applications and production environments.
Own the complete model development lifecycle, including requirements gathering, data assessment, experimentation, model development, validation, deployment, monitoring, and post-production support.
Communicate technical findings, model performance, research results, and recommendations clearly to colleagues, business partners, and senior management.
Provide tech

📌 Computer Vision (Ciudad de México)
🏢 Aptonet
📍 Ciudad de México