Main Responsibilities

Manage and optimize databases to ensure data integrity, security, and accessibility.
Design and optimize scalable ETL pipelines.
Develop and integrate AI solutions using frameworks such as Langchain.
Ensure data quality in coordination with Data Scientists.

Requirements

Experience in managing and optimizing relational databases.
Excellent proficiency in Python, deep knowledge of SQL, and familiarity with R (nice to have).
Knowledge of API frameworks.
Experience using versioning tools like Git.
Competence with cloud technologies, particularly Google Cloud Platform (GCP).
Familiarity with AI frameworks like Langchain and related tools and technologies.
Interest in the open-source world and familiarity with related technologies and tools.





Nice To Have

Experience in creating ML/AI models, particularly LLM.
Knowledge of principles in managing and analyzing spatial data (geolocated data).
Experience with other cloud technologies like AWS and Azure.
Knowledge of Kubernetes and containerization with Docker.
Experience or interest in working with vector data for AI projects.
Experience with Apache Superset or other open-source and commercial Business Intelligence tools.
Knowledge of Apache Kafka, Apache NiFi, and Apache Spark for Big Data applications.

📌 AI Data Engineer (Roma)
🏢 Intuo
📍 Roma