Computational Linguist

Employers from Greece; United States; Remote; USD 90,000 - 130,000; Full time

Benefits offered by this job

Fixed compensation

Long-term employment with vacation

Professional development (courses, etc

Global impact products

Proficient colleagues

Apple gear

Job summary

Omilia is seeking a Computational Linguist to join its team, delivering advanced conversational AI solutions for quick-service restaurants worldwide. You will contribute to the end-to-end design, development and testing of production-grade systems, and collaborate with customers to understand business requirements.

The role requires an academic degree in a related field and excellent English and Spanish communication skills, with opportunities to work on dialog systems and data-driven

Qualifications

• Academic degree in Computational Linguistics, NLP, CS or related field.

Responsibilities

• Contribute to the design, development and testing of production-grade conversational AI systems.

Skills

Programming fundamentals

Data analysis

Dialog systems

Web services

Java

Python

SQL

Bash scripting

GitLab

Jira

Communication

Teamwork

Attention to detail

Deadline-driven

Education

Degree in Computational Linguistics / NLP / CS or related field

English and Spanish fluency

Tools

GitLab

Jira

Job description

at Omilia

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

Technical / Professional Skills

• 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.