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Computational Linguist
Omilia - Conversational IntelligenceComputational 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.
Core Competencies
Role fitCore 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
Tailor your resumeApplicant 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 & technologiesJavaPythonSQL
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****