Computational Linguist

Omilia; España; Presencial; EUR 30.000 - 46.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Apple gear

Professional development courses

Vacation days

Descripción de la vacante

Omilia is seeking a Computational Linguist to join our team and contribute to cutting-edge conversational AI across the world. You will engage in designing, testing, and refining production-grade systems for omni-channel human-system interactions in QSR contexts.

The role emphasizes data-driven analysis, collaboration with customers, and building dialogue flows with both ML and rule-based approaches. English and Spanish fluency are required.

Formación

• Academic background in NLP or CS with practical implementation skills.
• Prototyping and testing of conversational AI systems.
• Experience with analyzing data to derive insights.

Responsabilidades

• Contribute to design, development and testing of production-grade conversational AI systems
• Work with customers to analyse business requirements
• Design applications aligning with usability principles and requirements
• Implement and test semantic models and conversation flow using ML and rule-based methods
• Analyze real dialogs to assess performance and identify improvements
• Engage in QA activities including regression and end-to-end testing

Conocimientos

Data analysis

Dialog systems

English

Spanish

Programming basics

NLP

Educación

Bachelor's degree in Computational Linguistics or related field

Herramientas

GitLab

Jira

Descripción del empleo

We are seeking a Computational Linguist to join our team. You will be part of a talented software team that delivers the latest in Conversational AI and Agentic technologies, bringing advanced voice solutions to quick-service restaurants (QSR) across the world. As part of that team, you will gain an under-the-hood understanding of all technologies involved in enabling conversational, omni-channel human-system interactions.

Accountabilities

• Contribute to the design, development and testing of production-grade conversational AI systems
• Work with customers to analyse and understand business requirements
• Design the application in line with established usability principles and business requirements
• Implement and test semantic models and conversation flow, using both machine learning and rule-based techniques
• Analyse real-life human-system dialogs, assess overall system performance and identify improvement opportunities
• Engage in QA activities, such as regression testing and end-to-end testing

Requirements

Knowledge, Skills & Experience

• Junior-level programming knowledge is a strong asset
• Ability to work with and analyse data to draw insights
• Experience with dialog systems, either voice or chat based; experience in other production-level NLU/NLP/Agentic solutions is a plus
• Experience consuming external systems such as web services
• Knowledge of Java, Python, SQL and/or bash scripting
• Familiarity with GitLab and Jira

Soft / Behavioural Skills

• Excellent communication skills; customer facing
• Ambition, enthusiasm and eagerness to learn, aptitude for analytical and creative thinking, with sharp attention to detail
• Well organized for both team and solo assignments
• Accountable within demanding deadlines

Formal Requirements

• Academic degree in Computational Linguistics, Natural Language Processing, Computer Science, related field, or equivalent experience
• Excellent command of English and Spanish

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.