As a Machine Learning Engineer, you will build intelligent systems that power personalized shopping experiences by extracting meaning from unstructured data such as offer images, product descriptions, and user interactions. Your work will directly influence how deals are surfaced and how products are recommended to users.
What You'll Do
- Develop and maintain scalable data pipelines using SQL, Pandas, Polars, or Spark to prepare inputs for machine learning workflows
- Design, train, and deploy deep learning models—especially in NLP and computer vision—using PyTorch and HuggingFace ecosystems
- Implement production-grade APIs with FastAPI or Flask to serve thousands of predictions daily
- Translate ambiguous problems into structured AI solutions, from concept through deployment
- Process and interpret multimodal data using Vision Language Models and Multi Modal architectures
- Apply advanced neural networks like Transformers, GPT variants, and YOLO for tasks including text extraction, named entity recognition, image captioning, and content understanding
- Contribute to and evolve large Python codebases with an emphasis on readability, maintainability, and performance
- Stay current with emerging models, architectures, and open-source tools in the AI space
What We Look For
- Strong command of Python and experience working with core data science libraries
- Hands-on experience with NLP and GenerativeAI projects such as classification, summarization, and structured data extraction from text
- Proven background in computer vision tasks including image classification, object detection, and cross-modal search
- Solid understanding of Transformer-based architectures and their applications across modalities
- Ability to independently drive projects from experimentation to production, including modeling, pipeline creation, and deployment
- Engineering rigor: clean code, testing, and alignment with team standards
Nice to Have
- Familiarity with OpenSearch or ElasticSearch for efficient retrieval
- Experience building recommendation systems using deep learning or libraries like Surprise, LightFM, or Implicit
Work Environment
This role supports hybrid work with locations in Milan, Naples, Bologna, and Cagliari, or full remote within Italy. We value curiosity, growth, and diverse perspectives. Our culture encourages tackling complex challenges with practical solutions, focusing on impact over credentials. You’ll join a team where learning and initiative are prioritized, and where AI projects lead to real-world outcomes.
