Junior AI Engineer – Computer Vision
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Job Description
Junior AI Engineer focusing on Computer Vision at InnovationTeam. Developing, optimizing, and deploying vision-based AI solutions with collaborative engineering teams.
Responsibilities:
- 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.
Requirements:
- 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).
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