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ContentWise

AI-driven customer experience personalization platform

AI Engineer

Applied Machine LearningConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • A bachelor's or master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Physics, or a related STEM field is required.
  • Experience in software development and programming using Python, Java, C++, R, or similar languages is required.
  • Familiarity with data science and machine learning frameworks such as Pandas, Scikit-Learn, TensorFlow, Keras, Matplotlib, and FastAPI is required.
  • Knowledge of SQL and NoSQL databases is required.
  • Familiarity with Git, Agile methodologies, and CI/CD practices is required.
  • Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform is required.
  • Knowledge of big data ecosystems, including Spark and Hadoop, is required.
  • Familiarity with Docker and Kubernetes is required.
  • Interest in or experience with Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, and Generative AI solutions is required.

Responsibilities

  • Design and develop solutions based on Machine Learning, Artificial Intelligence, and Generative AI.
  • Build data pipelines for data collection, processing, and validation across multiple sources.
  • Develop, train, and optimize advanced models for real-world use cases.
  • Deploy AI models and applications into production environments, ensuring reliability, scalability, and maintainability.
  • Collaborate with multidisciplinary teams to transform business challenges into impactful technology solutions.
  • Explore new frameworks, tools, and methodologies while contributing to the continuous evolution of the team's capabilities.
  • Work with technologies in Generative AI, Natural Language Processing, and Advanced Analytics.

About the Company

ContentWise

AI-driven customer experience personalization platform

ContentWise provides AI-powered software and services that help media companies, publishers, and online retailers create personalized and automated customer experiences across digital touchpoints. It enriches catalog data, tracks user behavior, and uses AI to tailor what each visitor sees—from recommendations and search to content discovery and editorial workflows—while automating editorial tasks and orchestrating the entire customer experience. It differentiates itself by combining data enrichment, behavior analysis, and end-to-end CX orchestration with a focus on media, publishing, and retail, backed by a global customer list. Its goal is to help marketing, editorial, and merchandising teams increase conversions, loyalty, and customer lifetime value by delivering smarter, more relevant experiences at every touchpoint.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
Milan, Italy
Founded
2007

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