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AI Engineer (Image Analysis & Evaluation) at Bnberry. We are looking for an AI Engineer with hands-on experience in working with photographs using machine learning. The focus of this role is . image understanding, evaluation, ranking, and optimization. .. What you will work on. Analysis and evaluation of images using AI models. Image quality assessment and ranking. Developing and training models that can objectively evaluate photos. Image enhancement tasks: quality improvement, color correction, visual consistency using modern ML models (Like vision-1, Nano Banana Pro). Building and iterating on AI-driven image pipelines based on real-world performance. Proven experience working with images using AI / ML. Strong understanding of computer vision techniques for . image reading, evaluation, and comparison. Experience training and fine-tuning models for image-related tasks. Practical knowledge of image quality metrics and evaluation approaches. Understanding of how image quality impacts user behavior and business outcomes. Motivation to work deeply with visual data and improve it in measurable ways. Experimentation & analytics. Experience with A/B testing and experimentation frameworks. Ability to design experiments to validate model decisions using real metrics, not subjective judgment. Understanding how to analyze experiment results and iterate based on data. Experience optimizing models and image pipelines through continuous measurement and testing. Nice to have. Familiarity with large-scale image datasets. Experience or familiarity with frameworks like . LangChain. or similar agent-based orchestration tools. Understanding how LLMs and agents can be integrated into ML pipelines (e.g. evaluation, orchestration, metadata enrichment). Experience deploying and maintaining ML models in production. Company Location: Poland.