Remote AI Engineer — Global Growth in Generative AI
SDG Group Italy seeks AI Engineers (1–3 yrs experience) to manage the full AI lifecycle — building, deploying, and industrializing ML and Generative AI (LLM) solutions in the cloud — for international clients in banking, insurance, healthcare, and fashion. Core stack: Python, AWS/GCP/Azure, Databricks, SageMaker, Vertex AI.
- Compensation
- Not disclosed
- Location
- Verona, Veneto
- Work setup
- Remote
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 1+ years
- Category
- Ai engineering
- Posted
Skills
Must have
- Master's degree in a STEM field (Computer Science, Engineering, Mathematics, Statistics, Data Science, or related)
- 1–3 years of experience in AI/ML/Data Science
- Proficiency in Python and its ecosystem (NumPy, Pandas, scikit-learn)
- Familiarity with Git, virtual environments, and SQL/NoSQL databases
- Understanding of core ML concepts or experience with Generative AI: LLMs, fine-tuning, prompt engineering, OpenAI API, LangChain, vector databases
- Fluency in Italian (C1) and proficiency in English
Full description
SDG Group Italy is seeking AI Engineers to join its AI & ML Engineering team, with 1–3 years of AI/ML experience. You will work in an international delivery unit across sectors like Fashion & Luxury, Utilities, Banking, Insurance, and Healthcare.
You will handle full AI lifecycle, modern modeling, cloud deployments, and cross-functional collaboration with data engineers, delivering production-ready AI solutions in a dynamic, global environment.
Full-Lifecycle AI Development: manage the entire journey of an AI solution from data cleaning to production-ready systems.
Cutting-Edge Modeling: implement algorithms from traditional modeling to Generative AI using LLMs/Transformers.
Industrialization & AIOps: deploy models to the cloud with scalable, reliable infrastructure.
Cloud Mastery: work across AWS, GCP, and Azure with Databricks, SageMaker, Vertex AI.
Strategic Insight & Communication: translate data into actionable business insights for clients.
Collaborative Deployment: partner with Data Engineers to integrate models into live systems.
Master’s degree in a STEM field (Computer Science, Engineering, Mathematics, Statistics, Data Science, or related).
1 to 3 years of experience in AI/ML/Data Science.
Proficiency in Python and its ecosystem (NumPy, Pandas, scikit-learn).
Familiarity with Git, virtual environments, and SQL/NoSQL databases.
Understanding of core ML concepts or experience with Generative AI: LLMs, fine-tuning, prompt engineering, OpenAI API, LangChain, vector databases.
Fluency in Italian (C1) and proficiency in English; interview tests language skills.
Supplementary health insurance
Meal vouchers
Corporate welfare plan
Travel opportunities