Senior AI/Computer Vision Engineer

Join our team as a Senior AI/Computer Vision Engineer to develop next-generation AI systems that analyze visual media and deliver hyper-personalized product recommendations.You will lead the integration of computer vision, semantic image understanding, and behavioral AI into scalable, intelligent pipelines. Apply now to contribute to innovative AI solutions that enhance client experiences. ResponsibilitiesDevelop and optimize CNN-based and transformer-based vision models for photo analysis and scoringDesign and prototype custom transformer architectures tailored to product creation needsBuild scalable pipelines for processing large volumes of image data and generating structured metadataIntegrate image intelligence with downstream applications such as search, ranking, and personalizationDevelop and deploy transformer-based ML models for personalized product recommendationsLead experimentation frameworks including A/B testing to improve recommendation relevance and conversionOperate and document the full ML model development and deployment stackCollaborate across teams to drive cross-functional technical initiatives from ideation to deliveryEnsure best practices in data management, model evaluation, explainability, and observability RequirementsExperience in software engineering with at least 3+ years in AI/ML-focused rolesDeep knowledge of computer vision techniques including CNNs, vision transformers, facial recognition, object detection, image classification, and image embeddingStrong experience with recommendation systems, collaborative filtering, deep learning for personalization, and transformer-based recommendation modelsProficiency in Python and relevant ML libraries such as PyTorch and TensorFlowExperience deploying ML models at scale using Docker, AWS, GCP, or similar platformsProven ability to lead cross-functional technical initiatives from ideation to deliveryStrong grasp of ML lifecycle best practices including data management, model evaluation, explainability, and observabilityMaster’s degree in Computer Science or related field, preferably with a math or physics backgroundEnglish proficiency at B2 level or higher Nice to haveHands-on experience with diffusion modelsExperience with graph neural networks (GNNs)Familiarity with reinforcement learning We offerInternational projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn