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Open nowPosted 3 days ago

AI Senior Lead Engineer

Talan463 open roles

Where
Genève, Switzerland
Work mode
On site
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Your applicationOpen nowAI Senior Lead EngineerTalan · Genève, Switzerland

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Talan's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

13.7% of postings close within 7 days. Measured by our own scanner across the market. Talan postings stay open a median of 26 days.

Share of postings closed within
  1. 2.3%1 day
  2. 4.8%3 days
  3. 13.7%7 days
  4. 22.1%14 days
  5. 37.6%30 days
  6. 59.1%60 days
This job: posted 3 days ago

Talan median: 26 days open

The posting

Company Description

Talan est un groupe international de conseil et d’expertises technologiques, qui accompagne et accélère la transformation digitale de ses clients par les leviers de la technologie, de la data et de l’innovation.

Depuis plus de 20 ans, Talan conseille et accompagne les entreprises et les institutions publiques dans la définition et la mise en œuvre de leurs projets de transformation et d'innovation en Suisse et à l'international.

Présent sur 5 continents dans 21 pays, le Groupe, certifié Great Place To Work, compte plus de 7000 collaborateurs.

Doté d'un Centre de recherche et d'innovation, Talan met l'innovation au cœur de son développement et intervient dans les domaines des mutations technologiques telles que l'Intelligence Artificielle, la Data Intelligence, la Blockchain, pour servir la croissance des grands groupes et des ETI dans une démarche engagée et responsable.

En plaçant la “Positive Innovation” au cœur de sa stratégie, Talan est convaincu que c’est en étant au service de l’humain que la technologie amplifie son impact sur la société tout entière.

#TalanSuisse

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.
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  1. A CV for this posting

    Written against Talan's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Talan's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Talan's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
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Why it works

3×

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That is how we know which CVs get called.

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