AI Engineer – Remote & Global Growth in Generative AI

SDG Group Italy; Milano; In loco; EUR 28.000 - 36.000; Tempo pieno

Vantaggi offerti da questo lavoro

Supplementary health insurance

Meal vouchers

Structured corporate welfare plan

International travel opportunities

Descrizione del lavoro

SDG Group is seeking AI Engineers with 1–3 years of experience in AI/ML to join its AI & ML Engineering team. You will work in an international delivery unit across sectors like Fashion, Utilities, Banking, and Healthcare.

You will grow quickly in a dynamic environment with exposure to Generative AI, LLMs, and Transformers, collaborating with Data Engineers to deploy models into live systems.

Competenze

• Master's degree in a STEM field (CS, Engineering, Math, Stats, Data Science or related).
• 1–3 years of experience in AI/ML/Data Science are a strong fit.
• Proficiency in Python and its ecosystem (NumPy, Pandas, scikit-learn).
• Familiarity with Git, virtual environments, and SQL/NoSQL databases.
• Knowledge of ML concepts and Generative AI (LLMs, fine-tuning, prompts, OpenAI API).
• Fluency in Italian (C1) and English; interview will test language skills.

Mansioni

• Full-Lifecycle AI Development from problem-definition to production-ready systems.
• Implement algorithms from traditional modeling to Generative AI.
• Industrialization, AIOps, and cloud deployment across AWS, GCP, Azure.
• Collaborate with Data Engineers to deploy models into live environments.
• Translate complex data into actionable business insights for clients.

Conoscenze

Python

AI/ML engineering

Git

SQL/NoSQL

Cloud platforms

LLMs/Transformers

Formazione

Master's degree in STEM

Data Science related master

Strumenti

Databricks

SageMaker

Vertex AI

Descrizione del lavoro

SDG Group is seeking AI Engineers with 1–3 years of experience in AI/ML to join its AI & ML Engineering team. You will work in an international delivery unit across sectors like Fashion, Utilities, Banking, and Healthcare.

You will grow quickly in a dynamic environment with exposure to Generative AI, LLMs, and Transformers, collaborating with Data Engineers to deploy models into live systems.