Data Engineer - Gen AI - Finance (h/f)
Role details
Job location
Tech stack
Job description
Design and implement data ingestion pipelines for structured and unstructured data.
Apply techniques such as vectorization and chunking to prepare data for LLM-based solutions.
Develop Python-based tools for large-scale data processing and storage manipulation.
Collaborate with Data Scientists and Business Analysts to ensure data readiness for AI models.
Requirements
5+ years of experience as a Data Engineer in complex environments.
Strong expertise in Python and experience with data modelling for AI applications.
Familiarity with vectorization, chunking, and handling large datasets.
Knowledge of tools such as PySpark, MongoDB, graph databases, SparkleDP.
Self-driven, proactive, and comfortable working in a fast-paced environment.
Fluent in English
Nice to Have
Exposure to legal or procedure-focused applications., Plus de 5 ans d'expérience en tant qu'ingénieur de données dans des environnements complexes. Solide expertise en Python et expérience dans la modélisation de données pour les applications d'IA. Connaissance de la vectorisation, du découpage en morceaux et du traitement de grands ensembles de données. Connaissance d'outils tels que PySpark, MongoDB, les bases de données graphiques, SparkleDP. Autonome, proactif et à l'aise dans un environnement en constante évolution. Maîtrise de l'anglais
Benefits & conditions
Other Details: This position is Hybrid ? on-site minimum 3 days per week in Paris 8th arrondissement.
