LLM Research Engineer

il y a 3 semaines


Luxembourg, Luxembourg CogniWave Dynamics Temps plein
Sur Luxembourg, Cogniwave Dynamics recherche un Research Engineer passionné qui aime explorer des moyens d'améliorer nos produits en utilisant des LLMs. Vous ferez partie de notre équipe de Recherche & Développement qui conduit l'innovation de nouvelles technologies.
Avec votre expertise et votre expérience dans le domaine, vous soutiendrez les développements de Cogniwave Dynamics dans la nouvelle ère de l'IA. Vous explorerez les LLMs à la pointe de la technologie et les nouvelles idées de fonctionnalités qui aident à pousser nos développements clients au niveau supérieur. En prototypant et en testant des fonctionnalités visionnaires, vous préparez la prochaine génération de nos solutions.

Au quotidien, vous allez
  • Vous amuser dans une équipe d'experts pleine de chercheurs créatifs et passionnés
  • Rester à jour avec les avancées des LLMs pour le code et le texte dans l'industrie et le monde académique
  • Expérimenter avec divers LLMs existants pour tester leurs forces et faiblesses
  • Discuter et qualifier de nouvelles opportunités d'innovation pour nos produits qui exploitent les LLMs
  • Prototyper et évaluer de nouvelles fonctionnalités de produits alimentés par l'IA pour les développeurs
Vos interventions chez le client
  • Vous interviendrez comme Expert LLM sur des missions d'expertise chez nos clients
  • Vous pouvez intervenir partiellement à l'étranger
Les compétences que vous démontrerez
  • Vous avez obtenu un diplôme universitaire et vous êtes compétent pour comprendre les articles académiques
  • Vous avez une bonne compréhension de l'architecture globale et des blocs de construction des LLMs
  • Vous avez une expérience pratique de l'utilisation et du déploiement des LLMs (localement et dans le cloud)
  • Vous avez de solides compétences en programmation pour automatiser les tâches et construire du code de preuve de concept
  • Vous êtes capable de concevoir des protocoles d'évaluation impartiaux en utilisant des métriques d'évaluation de modèle
  • Vous êtes familier avec l'état de l'art du tuning de prompts et de l'ingénierie
  • Vous parlez couramment l'anglais, à l'écrit comme à l'oral, et pouvez comprendre et expliquer des sujets techniques complexes
Compétences techniques
  • Python
  • Langchain
  • Expérience avec le fine-tuning de LLMs pour des tâches spécifiques
  • Connaissance des modèles RAG (Retrieval Augmented Generation) et de leurs applications
  • Plus de 5 ans d'expérience en programmation Python.
  • Expérience professionnelle antérieure avec du NLP
  • Expérience professionnelle pratique avec des outils de IA générative et de grands modèles de langage (llama2 , mistral, )
  • Expérience concrète des processus ETL, des bases de données relationnelles et NoSQL comme MongoDB.
  • Expérience professionnelle antérieure avec des environnements cloud (par exemple, AWS, GCP,Azure).


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