Description review
Computational Linguist / Language Engineer
Omilia · Greece · back to the listing
HR standards
45/100
poor
Title ↔ description
74/100
solid
Reads as
Machine Learning Engineer
80% confident
What this role officially is
data scientist — ESCO, the EU occupation classification
Data scientists find and interpret rich data sources, manage large amounts of data, merge data sources, ensure consistency of data-sets, and create visualisations to aid in understanding data. They build mathematical models using data, present and communicate data insights and findings to specialists and scientists in their team and if required, to a non-expert audience, and recommend ways to apply the data.
Also known as: data scientists, data engineer, research data scientist, data expert, data research scientist
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What the listing never says
- 24 bullet points. Long requirement lists deter qualified candidates, who read them as hard gates. Scope clarity
- No section describes what the person would actually do. Scope clarity
- No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
- No location or timezone policy stated, so a candidate cannot tell where they may work from. Scope clarity
The listing, marked up
Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.
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.
Originally posted on Himalayas
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.
Originally posted on Himalayas