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Omilia - Conversational Intelligence

Computational Linguist / Language Engineer

Omilia - Conversational Intelligence

Computational Linguist developing conversational AI and voice solutions for global quick-service restaurants. Designing semantic models, conversation flows, and production-grade dialog systems.

Posted 9/5/2026full-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 to derive insights and improve system performance, while effectively communicating with customers and stakeholders.

Highest-signal resume keywords
Conversational AI DevelopmentNatural Language Processing (NLP)Machine Learning TechniquesData AnalysisJava Programming

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
JavaPythonSQLBash ScriptingMachine LearningNatural Language Understanding (NLU)Dialog SystemsData AnalysisSemantic ModelsConversation Flow Design
Soft Skills
Excellent Communication SkillsAnalytical ThinkingAttention to DetailOrganizational SkillsAccountability
Tools & Technologies
GitLabJiraWeb Services
Industry Keywords
Conversational AIComputational LinguisticsVoice SystemsChat SystemsProduction-Level Solutions

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 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
  • Equal opportunity, diverse and inclusive workplace