Text & Reasoning LLM, NLU Tech Lead

Job not on LinkedIn

🕒 April 16

🌐 Greece, Poland, +4 more countries – Remote

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⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 38%

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Logo of Omilia - Conversational Intelligence

Omilia - Conversational Intelligence

201 - 500 employees

Founded 2002

💼 Consulting

🛡️ Insurance

✈️ Travel

Consulting • Insurance • Travel

Omilia is a leader in Conversational AI, specializing in voice and chat solutions that enable natural, end-to-end customer interactions. Their Omilia Cloud Platform provides advanced AI-driven customer service tools, including real-time agent assistance, voice biometrics for fraud prevention, and data analytics to enhance customer insights. Serving industries such as finance, insurance, retail, automotive, and travel, Omilia focuses on automating customer service while ensuring a secure and personalized experience.

📋 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.

🎯 Requirements

• 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.

🏖️ Benefits

• 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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