Text & Reasoning LLM, NLU Tech Lead

Emploi pas sur LinkedIn

🕒 il y a 4 mois

🌐 Grèce, Pologne, +4 autres pays – Distant

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⏰ Temps Plein

🟠 Senior

🧑‍💻 Développeur Full-Stack

👻 Score fantôme 38%

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🗣️🇺🇸🇬🇧 Anglais requis

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Logo of Omilia - Conversational Intelligence

Omilia - Conversational Intelligence

201 - 500 employés

Fondée en 2002

💼 Conseil

🛡️ Assurance

✈️ Tourisme

Consulting • Insurance • Travel

Omilia est un leader dans l'IA conversationnelle, spécialisée dans les solutions vocales et de chat qui permettent des interactions clients naturelles et complètes. Leur plateforme Omilia Cloud fournit des outils de service client avancés pilotés par l'IA, incluant l'assistance en temps réel aux agents, la biométrie vocale pour la prévention de la fraude, ainsi que des analyses de données pour améliorer la compréhension client. Servant des industries telles que la finance, l'assurance, le retail, l'automobile et le voyage, Omilia se concentre sur l'automatisation du service client tout en garantissant une expérience sécurisée et personnalisée.

Description

• Lead the design, development, and delivery of advanced Natural Language Understanding (NLU) solutions leveraging Large Language Models (LLMs) for text and reasoning tasks. • Own the technical integrity and quality of NLU solutions, ensuring robust, scalable, and maintainable code and models. • Oversee architectural decisions, code reviews, and best practices for LLM-based NLU systems. • Ensure timely and successful delivery of NLU features and improvements, proactively identifying and mitigating risks. • Operate with high independence, making critical technical decisions and setting standards for the team. • Lead initiatives involving complex reasoning, multi-turn dialogue, and advanced text understanding, often spanning multiple projects or products. • Drive measurable improvements in NLU accuracy, performance, and customer satisfaction. • Mentor engineers and data scientists, fostering a culture of technical excellence and continuous learning.

🎯 Exigences

• Advanced degree in Computer Science, Computational Linguistics, or related field. • Proven experience in designing, developing, and deploying LLM-based NLU systems. • Deep understanding of NLP, machine learning, and reasoning algorithms. • Proficiency in Python and relevant ML frameworks (e.g., PyTorch, TensorFlow, HuggingFace). • Experience with cloud platforms and scalable architectures. • Strong problem-solving, communication, and leadership skills. • Track record of technical mentorship and driving impactful results in AI/NLU projects.

🏖️ Avantages

• Fixed compensation; • Long-term employment with the working days vacation; • Development in professional growth (courses, training, etc); • Being part of successful cutting-edge technology products that are making a global impact in the service industry; • Proficient and fun-to-work-with colleagues; • Apple gear

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