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Technisch engineer.

Pubblicato il 25-09-2026 - Sdg Group Italy in Milano

SDG Group is looking for AI Engineers , motivated professionals with 1 to 3 years of experience in AI & ML, to join our AI & ML Engineering team.

From day one, you will be fully integrated into an international delivery unit, working with multicultural teams on high-impact projects across cutting-edge and highly competitive sectors such as Fashion & Luxury, Utilities, Banking, Insurance, and Healthcare.

This role is ideal for candidates eager to grow fast in a dynamic, international, and constantly evolving environment, with direct exposure to Generative AI and advanced Machine Learning projects.

Full-Lifecycle AI Development: Manage the entire journey of an AI solution, from initial problem-solving and data cleaning to building production-ready systems.

Cutting-Edge Modeling: Implement a wide range of algorithms—from traditional statistical optimization and predictive modeling (supervised/unsupervised) to advanced Generative AI using LLMs and Transformers.

Industrialization & AIOps: Transition models from local environments to the cloud using an engineering mindset.



You will ensure systems are scalable and reliable by applying AIOps methodologies.

Cloud Mastery: Work across the “Big Three” (AWS, GCP, and Azure) and leverage specialized platforms like Databricks, SageMaker, and Vertex AI to handle large-scale data science needs.

Translate complex datasets into actionable business insights. You will act as a bridge between technical data and client needs, presenting findings that solve real-world challenges.

Collaborative Deployment: Work in synergy with Data Engineers to integrate models into live systems, ensuring they are not just “smart” but operational.

Master’s degree in a STEM field (Computer Science, Engineering, Mathematics, Statistics, Data Science, or related).

Experience: Professionals with 1 to 3 years of experience in AI / ML / Data Science are a strong fit.

Programming: Proficiency in Python and its ecosystem (NumPy, Pandas, scikit-learn).

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