Lead Computer Vision Engineer (AI)

TL;DR

Lead Computer Vision Engineer (AI): Defining and delivering production-ready computer vision and generative AI systems across image generation, multimodal intelligence, and 3D scene understanding with an accent on model architecture, optimization, and scalable deployment. Focus on designing visual AI pipelines, advancing diffusion and vision-language models, and leading engineering teams from research through production.

Location: Poland; remote or office work available.

Company

hirify.global is a technology services company delivering software engineering, AI, and data science solutions for global clients.

What you will do

• Define the technical vision and strategy for computer vision, generative AI, multimodal intelligence, and 3D scene understanding.
• Oversee production-ready computer vision pipelines using PyTorch, ONNX, TensorRT, and Triton.
• Architect and optimize diffusion systems, transformers, and vision-language models for production environments.
• Establish engineering standards, model training processes, cloud infrastructure, and MLOps practices.
• Lead collaboration with data scientists, MLOps engineers, ML architects, clients, and executive stakeholders.
• Mentor Computer Vision Engineers and contribute to technical publications, client engagements, and industry research.

Requirements

• Extensive Python and PyTorch expertise with a record of delivering end-to-end computer vision systems in production.
• Deep knowledge of classical computer vision, including camera calibration, feature matching, homography estimation, and geometric scene understanding.
• Advanced experience with generative AI, diffusion models, transformers, multimodal systems, and vision-language models.
• Expertise in model optimization and deployment with ONNX, TensorRT, or Triton on AWS, GCP, or Azure.
• Experience leading or mentoring Computer Vision Engineering teams and setting technical direction.
• Upper-intermediate or higher spoken and written English proficiency required.

Culture & Benefits

• Work within an AI and Data Science Center of Excellence with more than 170 experts.
• Collaborate with world-leading clients on visual AI solutions with measurable impact at scale.
• Combine research, innovation, and production engineering across cloud and MLOps environments.
• Participate in technical publications, industry events, and research communities.