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Omilia - Conversational Intelligence

Computational Linguist

Omilia - Conversational Intelligence

Computational Linguist contributing to Conversational AI technologies for quick-service restaurants. Implementing and testing semantic models while ensuring high-quality human-system interaction in a global context.

Posted 7/23/2026full-timeRemote • 🇬🇷 GreeceMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and developing conversational AI systems, with a strong foundation in programming languages such as Java and Python. Proficient in analyzing data for insights and implementing semantic models in line with usability principles.

Highest-signal resume keywords
Conversational AI DevelopmentNatural Language ProcessingData AnalysisJava ProgrammingPython Programming

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Dialog SystemsMachine LearningRule-Based TechniquesSQLBash Scripting
Soft Skills
Excellent Communication SkillsAnalytical ThinkingAttention to DetailOrganizational SkillsAccountability
Tools & Technologies
GitLabJiraWeb Services
Industry Keywords
Computational LinguisticsNatural Language UnderstandingAgentic SolutionsQA ActivitiesEnd-to-End Testing

Tech Stack

Tools & technologies
JavaPythonSQL

About the role

Key responsibilities & impact
  • 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

What you’ll need
  • 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.
  • 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.
  • Academic degree in Computational Linguistics, Natural Language Processing, Computer Science, related field, or equivalent experience.
  • Excellent command of English and Spanish.

Benefits

Comp & perks
  • 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****