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Senior Computer Vision Engineer (AI)

Формат работы
remote (только Poland)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Poland
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Senior Computer Vision Engineer (AI): Developing advanced computer vision and generative AI solutions for real-world business problems with an accent on image and video generation, enhancement, and understanding. Focus on building end-to-end training pipelines, optimizing models for production using TensorRT/ONNX, and implementing multimodal AI systems.

Location: Remote or Office in Poland

Company

A global digital solutions company and NVIDIA Service Delivery Partner specializing in AI/ML through its dedicated Center of Excellence.

What you will do

  • Develop and deploy advanced CV and Generative AI solutions to solve real-world business challenges.
  • Build, fine-tune, and evaluate models for image and video generation, enhancement, and understanding tasks.
  • Design and maintain production-ready AI systems using large-scale datasets and cloud infrastructure.
  • Collaborate with researchers and stakeholders to translate complex requirements into scalable technical solutions.
  • Contribute to the technical direction of high-impact AI initiatives and share expertise with the team.

Requirements

  • 4+ years of experience in computer vision, deep learning, and modern AI systems.
  • Proficiency in Python and PyTorch for building and maintaining end-to-end training pipelines.
  • Strong knowledge of classical CV, including camera calibration, feature matching, and homography estimation.
  • Experience with multimodal and generative AI, specifically transformers, diffusion models, and vision-language models.
  • Ability to optimize and deploy models using ONNX, TensorRT, or Triton.
  • English: Upper-intermediate (B2) or above.
  • Location: Must be based in Poland.

Nice to have

  • Expertise in 3D computer vision, anomaly detection, edge AI, or model compression.
  • Familiarity with MLOps practices in AWS, GCP, or Azure.

Culture & Benefits

  • Flexible workplace policy: option to work from home or from any office within the country.
  • Access to powerful educational and mentorship programs.
  • Opportunity to work with cutting-edge tools as an NVIDIA Service Delivery Partner.
  • Participation in international events and ability to earn certifications in emerging technologies.

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