Text & Reasoning LLM / NLU Tech Lead

Omilia; España; Presencial; EUR 60.000 - 90.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Long-term employment

Professional development opportunities

Work with cutting-edge technology

Fun workplace environment

Apple gear

Descripción de la vacante

Omilia in Spain is seeking a Lead NLU Engineer to innovate and deliver advanced Natural Language Understanding solutions. The role demands leading technical discussions, developing state-of-the-art models, and mentoring a talented team. Candidates should possess an advanced degree in Computer Science and expertise in NLP, Python, and machine learning frameworks. A supportive and diverse work environment is offered, alongside competitive benefits tailored for professional growth. Join us to shape the future of conversational AI.

Formación

• Proven experience in designing, developing, and deploying LLM-based NLU systems.
• Deep understanding of machine learning and reasoning algorithms.
• Experience with cloud platforms and scalable architectures.

Responsabilidades

• Design and implement LLM-based NLU models for text and reasoning tasks.
• Lead technical discussions and architecture reviews.
• Monitor system performance and drive continuous improvement.

Conocimientos

Natural Language Processing (NLP)

Python

Machine Learning (ML)

Leadership

Educación

Advanced degree in Computer Science or related field

Herramientas

PyTorch

TensorFlow

HuggingFace

Descripción del empleo

Role Purpose

Lead the design, development, and delivery of advanced Natural Language Understanding (NLU) solutions leveraging Large Language Models (LLMs) for text and reasoning tasks. Ensure technical excellence, innovation, and alignment with Omilia's strategic objectives in conversational AI.

Accountabilities

• Technical Correctness: Own the technical integrity and quality of NLU solutions, ensuring robust, scalable, and maintainable code and models
• System Quality: Oversee architectural decisions, code reviews, and best practices for LLM-based NLU systems
• Delivery Monitoring: Ensure timely and successful delivery of NLU features and improvements, proactively identifying and mitigating risks
• Autonomy: Operate with high independence, making critical technical decisions and setting standards for the team
• Scope & Complexity: Lead initiatives involving complex reasoning, multi-turn dialogue, and advanced text understanding, often spanning multiple projects or products
• Impact: Drive measurable improvements in NLU accuracy, performance, and customer satisfaction
• Influence/Mentorship: Mentor engineers and data scientists, fostering a culture of technical excellence and continuous learning

Key Responsibilities

• Design and implement state-of-the-art LLM-based NLU models for text and reasoning tasks
• Lead technical discussions, architecture reviews, and solution design sessions
• Collaborate with cross-functional teams (Product, Data Science, Engineering) to define requirements and deliver solutions
• Conduct code and model reviews, ensuring adherence to best practices and Omilia standards
• Monitor system performance, troubleshoot issues, and drive continuous improvement
• Stay abreast of advancements in LLMs, NLU, and AI, evaluating and integrating relevant technologies
• Provide technical mentorship and guidance to team members

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

Omilia Note

• Contribute actively and effectively as an integrated team member
• Act as an Omilia ambassador in all interactions

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

Apply Now to join Omilia and help engineer the future of conversational AI.

Omilia is proud to be an equal opportunity employer and is dedicated to fostering a diverse and inclusive workplace. We believe that embracing diversity in all its forms enriches our workplace and drives our collective success. We are committed to creating an environment where everyone feels welcomed, valued, and empowered to contribute their unique perspectives without regard to factors such as race, color, religion, gender, gender identity or expression, sexual orientation, national origin, heredity, disability, age, or veteran status, all eligible candidates will be given consideration for employment.