Senior AI/Computer Vision Engineer

4 semanas atrás

Florianópolis, Brasil EPAM Systems Tempo inteiro

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. Responsibilities Develop and optimize CNN-based and transformer-based vision models for photo analysis and scoring Design and prototype custom transformer architectures tailored to product creation needs Build scalable pipelines for processing large volumes of image data and generating structured metadata Integrate image intelligence with downstream applications such as search, ranking, and personalization Develop and deploy transformer-based ML models for personalized product recommendations Lead experimentation frameworks including A/B testing to improve recommendation relevance and conversion Operate and document the full ML model development and deployment stack Collaborate across teams to drive cross-functional technical initiatives from ideation to delivery Ensure best practices in data management, model evaluation, explainability, and observability Requirements Experience in software engineering with at least 3+ years in AI/ML-focused roles Deep knowledge of computer vision techniques including CNNs, vision transformers, facial recognition, object detection, image classification, and image embedding Strong experience with recommendation systems, collaborative filtering, deep learning for personalization, and transformer-based recommendation models Proficiency in Python and relevant ML libraries such as PyTorch and TensorFlow Experience deploying ML models at scale using Docker, AWS, GCP, or similar platforms Proven ability to lead cross-functional technical initiatives from ideation to delivery Strong grasp of ML lifecycle best practices including data management, model evaluation, explainability, and observability Master’s degree in Computer Science or related field, preferably with a math or physics background English proficiency at B2 level or higher Nice to have Hands-on experience with diffusion models Experience with graph neural networks (GNNs) Familiarity with reinforcement learning We offer International projects with top brands Work with global teams of highly skilled, diverse peers Employee financial programs Paid time off and sick leave Upskilling, reskilling and certification courses Unlimited access to the LinkedIn Learning library and 22,000+ courses Global career opportunities Volunteer and community involvement opportunities EPAM Employee Groups Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn #J-18808-Ljbffr

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