Talan

Agile IT transformation consulting and delivery

AI Senior Lead Engineer

Applied Machine LearningConfirmed live in the last 24 hours

Full-timeGeneva, SwitzerlandNo salary listedIn-person

About the Job

Requirements

Strong expertise in data engineering and artificial intelligence.
Excellent command of Python.
Experience with Docker, Kubernetes, message queues, and data pipelines.
Proficiency with databases, application programming interfaces, and model serving using FastAPI or an equivalent.
Experience with triplestores and SPARQL, including GraphWise or OntoText.
Knowledge of property graphs, including Neo4j and Cypher.
Experience with semantic and keyword search engines.
Experience deploying named entity recognition and classification models and multilingual document processing in production.
Experience processing millions of documents in an on-premises environment.
Experience with Agile or SAFe methodologies.
Ability to define data and AI architectures and coordinate technical teams.

Responsibilities

Define and lead the AI roadmap.
Design and deploy entity-extraction (named entity recognition) and document-classification solutions.
Develop and industrialize data and AI architectures.
Design and implement institutional ontologies and knowledge graphs.
Deploy large-scale data-processing pipelines.
Ensure data quality, traceability, and auditability.
Coordinate internal teams, partners, and consultants.
Provide technical follow-up and bring solutions into production.

Desired Qualifications

Knowledge of archival standards, including OAIS and RiC-O.
Experience implementing business ontologies.
Experience with knowledge graphs.
Knowledge of retrieval-augmented generation architectures.
Experience with optical character recognition and handwriting recognition.
Image annotation and metadata quality management.
Experience with vector databases.
Familiarity with security-by-design principles.

Job Description

Nous recherchons un(e) AI Senior Lead Engineer pour assurer le leadership technique et piloter la conception, le développement et le déploiement de solutions d'Intelligence Artificielle et de Data à grande échelle.

Vous serez responsable de la définition de l'architecture, de la feuille de route IA et de la coordination des équipes techniques afin de garantir des solutions robustes, évolutives et industrialisées.

🚀 Vos responsabilités

Définir et piloter la feuille de route IA.
Concevoir et déployer des solutions d'extraction d'entités (NER) et de classification documentaire.
Développer et industrialiser des architectures Data & AI.
Concevoir et mettre en œuvre des ontologies institutionnelles et des Knowledge Graphs.
Déployer des pipelines de traitement de données à grande échelle.
Garantir la qualité, la traçabilité et l'auditabilité des données.
Coordonner les équipes internes, partenaires et consultants.
Assurer le suivi technique et la mise en production des solutions.

Qualifications

🧠 Compétences et expérience requises

Solide expertise en Data Engineering et Intelligence Artificielle.
Excellente maîtrise de Python.
Expérience avec Docker, Kubernetes, Message Queues et Data Pipelines.
Maîtrise des bases de données, des API et du Model Serving (FastAPI ou équivalent).
Expérience des Triplestores et de SPARQL (GraphWise / OntoText).
Connaissance des graphes de propriétés : Neo4j, Cypher.
Expérience des moteurs de recherche sémantique et par mots-clés.
Expérience en production de modèles NER, classification et traitement documentaire multilingue.
Expérience dans le traitement de millions de documents en environnement On-Premise.
Expérience des méthodologies Agile / SAFe.
Capacité à définir des architectures Data & AI et à coordonner des équipes techniques.

⭐ Compétences complémentaires appréciées

Connaissance des standards archivistiques : OAIS, RiC-O.
Expérience dans la mise en œuvre d'ontologies métier.
Expérience en Knowledge Graph.
Connaissance des architectures RAG (Retrieval Augmented Generation).
Expérience en OCR et reconnaissance d'écriture manuscrite.
Annotation d'images et gestion de la qualité des métadonnées.
Expérience avec les Vector Databases.
Sensibilité aux principes de Security by Design.

Additional Information

About the Company

Talan

Agile IT transformation consulting and delivery

Talan is a European consulting and IT services group that helps organizations transform and adapt to fast-changing environments. It offers a full range of services from strategic business consultancy to packaged IT solutions, including production support, software development, business analysis, and nearshore delivery. The company works by deploying multidisciplinary teams across its global offices to guide clients through agile transformations, change programs, and IT modernization. Talan differentiates itself through its international footprint, sector focus on Major Service Operators, and a culture built on transparency, respect, teamwork, entrepreneurial spirit, and commitment. With strong organic growth and a large pool of over 3,500 consultants, its goal is to create and share value for clients while coaching and developing its people—empowering customers to transform and compete more effectively.

Company size: 1,001-5,000
Company stage: Late Stage VC
Total funding: $110M
Headquarters: Paris, France
Founded: 2002

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