We are looking for a Computer Vision and Generative Neural Networks Engineer with solid experience in deep learning and image processing to develop and optimize classification and image generation models.
Requirements
- Master's degree in Computer Science with a focus on Artificial Intelligence and Research, Computer Engineering, Applied Mathematics, or related fields
- Proven experience in developing and implementing deep learning models for classification and image generation
- Proficiency with deep learning frameworks, such as PyTorch, TensorFlow, Flux, or similar
- Solid knowledge in computer vision and image processing techniques
- Practical experience with embeddings and generative neural network architectures
- Familiarity with state-of-the-art models and tools, such as DINOv2, CLIP from OpenAI, and diffusion models (Stable Diffusion, Flux, etc.)
- Experience with vector databases (e.g., Pinecone, Milvus, Faiss, or similar) and application of recommendation algorithms using embeddings for similarity analysis and personalization of results
- Experience with training complex models requiring the use of GPU clusters
- Analytical ability and problem-solving skills
- Strong written and verbal communication skills for documenting and sharing discoveries and results
- Proactivity, creativity, and willingness to work as a team
