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 SoftServe'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 generative AI and multimodal systems, including diffusion models, transformers, and vision-language models

Proven expertise in model optimization and deployment using ONNX, TensorRT, or Triton across cloud platforms (AWS, GCP, or Azure)

Demonstrated experience leading or mentoring Computer Vision Engineering teams, driving technical direction, and embedding best practices

Strong stakeholder management skills, with the ability to shape CV strategy and communicate technical decisions to clients and executive audiences

Analytical background with a degree in Computer Science, Applied Mathematics, Physics, or a related field

Upper-intermediate or higher proficiency in spoken and written English SoftServe is an equal opportunity employer. Qualified applicants will receive consideration regardless of race, color, ancestry, ethnicity, national origin, religion, sex, sexual orientation, gender identity or expression, age, citizenship, disability, health condition, marital or family status, veteran status, or any other characteristic protected by applicable law.

📌 Lead Computer Vision Engineer (Chile)
🏢 SoftServe
📍 Chile