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About The Role
In this role, you will define the technical vision for computer vision and generative AI systems, spanning image generation, multimodal intelligence, and 3D scene understanding, within Empresa confidencial's AI and Data Science Center of Excellence, a team of 170+ experts. You'll shape CV strategy for world-leading clients, drive innovation from research to production, and lead teams to deliver visual AI solutions that create measurable impact at scale.

Responsibilities
- Define and drive technical vision for computer vision systems, spanning generative AI, multimodal intelligence, and 3D scene understanding, ensuring alignment with business objectives and CoE innovation goals
- Oversee the design and delivery of production-ready CV pipelines using PyTorch, ONNX, TensorRT, or Triton, establishing engineering standards and quality benchmarks across the team
- Lead cross-functional collaboration with Data Scientists, MLOps Engineers, ML Architects, and clients, translating complex requirements into scalable visual AI solutions




- Advance generative and multimodal AI capabilities by architecting models, including diffusion systems, transformers, and vision-language models, optimized for production environments
- Establish and continuously improve CV engineering processes, from model training pipelines to cloud infrastructure on AWS, GCP, or Azure, and MLOps best practices
- Mentor and guide Computer Vision Engineers, embedding expertise in classical CV, deep learning, and emerging visual AI domains across the team
- Contribute to thought leadership through technical publications, client engagements, and participation in industry events and research communities

Requirements
- Extensive Python and PyTorch expertise with a proven track record of delivering end-to-end CV systems in production
- Deep knowledge of classical CV techniques, including camera calibration, feature matching, homography estimation, and geometric scene understanding
- Advanced experience with g

Postúlate en Kit Empleo: kitempleo.cl/empleo/1di9at

📌 Lead Computer Vision Engineer (Chile)
🏢 Reconocida empresa
📍 Chile