Responsibilities

• Design and develop data graphs and knowledge graphs
• Integrate graph solutions into AI and machine learning projects
• Optimize the performance and scalability of graph databases
• A key position at the intersection of data, architecture and artificial intelligence

Technical environment

• Neo4j or equivalent
• Python, Cypher, SQL
• Spark, Kafka or Airflow
• Machine Learning, NLP, LLM, embeddings
• Cloud platforms such as AWS, Azure or GCP

Profile

• Degree in computer science or data
• Experience in data engineering and graph modeling
• Strong understanding of modern AI architectures
• Analytical mindset with a solution-oriented approach
• A key position at the intersection of data, architecture and artificial intelligence