Machine Learning Engineer

Machine Learning Engineer for an AI-driven retail platform. Responsibilities include information extraction and enrichment from unstructured content, building data pipelines and ETL/ELT processes, multi-modal classification, semantic similarity in multi-modal contexts, and developing recommendation systems. Key tasks involve writing SQL, processing data with Pandas/Polars/Spark, implementing MLOps practices to deploy AI models producing 100k+ predictions daily, designing end-to-end AI solutions for processing offer images/text to extract valuable data, maintaining large Python codebases, and staying updated on advances in AI (transformers, NLP, CV, and multimodal models). Required skills include Python, PyTorch, Pandas, FastAPI/Flask, HuggingFace ecosystem, NLP, Transformers, image understanding (YOLO, CV), and familiarity with OpenSearch/ElasticSearch. The role offers hybrid work in Italy with possible full-remote-from-Italy arrangements, collaborative environment with Data/Software Engineers, Data Scientists, and Product Managers.