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InnovationTeam
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Junior AI Engineer - Computer Vision

InnovationTeam · DE

Actively hiring Posted 11 days ago
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Role overview

We are seeking a skilled AI Engineer with a strong focus on Computer Vision to develop, optimize, and deploy vision-based AI solutions. The role involves working on real-world image and video analytics problems and delivering production-ready AI systems.

Basic qualifications

  • Develop and train Computer Vision models for image and video analysis.
  • Implement solutions for object detection, image classification, segmentation, and tracking.
  • Prepare and manage datasets, including data cleaning, labelling, and augmentation.
  • Optimize models for GPU performance, inference speed, and scalability.
  • Deploy AI models into production using APIs and containerized services.
  • Integrate Computer Vision models with broader AI and analytics platforms.
  • Collaborate with software engineers, data scientists, and product teams.
  • Maintain documentation and ensure code quality and reproducibility.
  • Minimum 5 years of hands-on experience in AI / Machine Learning/Deep learning with a focus on Computer Vision.
  • Master’s degree in computer science, software Engineering, Artificial Intelligence, Engineering, or a related field.
  • Strong knowledge of Computer Vision concepts and algorithms.
  • Practical experience with CNN-based models and modern CV architectures.
  • Proficiency in Python and common ML/CV libraries (PyTorch or TensorFlow, OpenCV).
  • Experience with object detection and segmentation frameworks (e.g., YOLO, Detectron2).
  • Understanding of model evaluation, metrics, and performance optimization.
  • Experience deploying models in cloud or on-prem environments.
  • Familiarity with Docker and basic MLOps practices.
  • Excellent English communication skills (written and spoken).

Preferred qualifications

  • Experience with video analytics or real-time inference.
  • Exposure to Vision Transformers or multimodal AI.
  • Experience with GPU-based training and inference.
  • Knowledge of cloud platforms (OCI, AWS, Azure, or GCP).
  • Background in domains such as healthcare, smart cities, or industrial AI.

Benefits

  • Work on practical, production-grade Computer Vision solutions.
  • Access to GPU infrastructure and modern AI tooling.
  • Collaborative, engineering-focused work environment.
  • Opportunities for growth and advanced AI exposure.
  • Competitive compensation package.

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Fulltime Remote Ai Ai Engineer Deep Learning Computer Vision

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