Text & Reasoning LLM / NLU Tech Lead

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

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.

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