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Senior CV Engineer

Jobgether

Senior 🇬🇧 English
Python Diffusers Transformers IP-Adapters diffusion models computer vision deep learning generative AI backend engineering scalable deployment

Description du poste

About the role

This senior position focuses on building and scaling next‑generation AI‑powered visual technologies. You will work on advanced generative models that create high‑quality photorealistic and stylized visual content, collaborating with a globally distributed team.

Key responsibilities

  • Train, fine‑tune and enhance generative computer‑vision models, including text‑to‑image, image‑to‑image, video‑to‑image, and adapter‑based architectures.
  • Develop and improve image classification, ranking, and captioning systems that understand complex visual contexts.
  • Monitor emerging research and open‑source advances in computer vision, translating findings into actionable roadmaps.
  • Design, implement, and own model evaluation frameworks and quality‑validation processes.
  • Optimize model inference using diffusion acceleration, quantization, and framework‑level performance enhancements.
  • Collaborate with machine‑learning teams to integrate advanced vision capabilities into broader AI systems.
  • Contribute to multimodal AI projects that combine visual and language understanding.

Required profile

  • 5+ years of experience with diffusion models, including training, fine‑tuning and architectural customization.
  • Strong expertise with modern ML frameworks, especially Diffusers and Transformers.
  • Hands‑on experience implementing and optimizing IP‑Adapters or similar conditioning techniques.
  • Solid backend engineering experience, preferably with Python and scalable deployment environments.
  • Deep understanding of deep learning, generative AI and computer‑vision best practices.
  • Proven ability to drive research initiatives independently and deliver production‑ready solutions.

Required skills

  • Python programming
  • Diffusers library
  • Transformers library
  • IP‑Adapters (or similar conditioning techniques)
  • Diffusion models
  • Computer vision
  • Deep learning
  • Generative AI
  • Backend engineering for scalable deployment

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