Computational Linguist

Genesys empowers organizations of all sizes to improve loyalty and business outcomes by creating the best experiences for their customers and employees Through Genesys Cloud the AI-powered Experience Orchestration platform organizations can accelerate growth by delivering empathetic personalized experiences at scale to drive customer loyalty workforce engagement efficiency and operational improvements We employ more than 6 000 people across the globe who embrace empathy and cultivate collaboration to succeed And while we offer great benefits and perks like larger tech companies our employees have the independence to make a larger impact on the company and take ownership of their work Join the team and create the future of customer experience together Job Title Computational Linguist Department Team Conversational AI Language Engineering Location Hyderabad India flex About the Conversational AI Team At Genesys we believe that exceptional customer experiences are built on the foundation of intelligent empathetic technology Our Conversational AI team is at the forefront of this revolution developing cutting-edge language technologies that power millions of customer interactions daily They span detecting intents and entities finding information and answering questions summarizing and naturally guiding conversations all across a wide range of languages and channels About the Role We are seeking a Computational Linguist to join our Conversational AI team You will design and execute research methods and tooling that evaluate and enhance our AI capabilities in Speech Natural Language Processing across chatbots voice bots knowledge systems and agent assistive technologies This role combines deep expertise in linguistic analysis with practical application to AI ML systems spanning multiple languages Your work will directly impact how we develop assess and optimize our conversational AI products and services This is an exciting opportunity to shape world-class language-driven products and drive improvements in how we measure and deliver conversational AI success across diverse linguistic contexts Key Responsibilities Design develop and maintain comprehensive evaluation tooling while translating project goals into concrete execution plans including data requirements and curation evaluation methodologies benchmarking frameworks and automated testing pipelines to support model assessment workflows Evaluate AI model performance through benchmark analysis and user feedback conducting comprehensive error analysis to derive actionable insights and deliver rigorous documentation to project stakeholders Validate analysis tooling through statistical testing performance benchmarking and output verification to ensure reproducible results and high-confidence insights for model evaluation Collaborate effectively with feature teams to understand evaluation requirements align on priorities and build sustainable AI assessment capabilities that enable and empower feature teams for continuous improvement Balance multiple concurrent projects across diverse languages and modalities maintaining clear visibility on timelines and proactively communicating progress and risks to stakeholders Foster respectful professional relationships be a thoughtful steward of organizational resources and maintain strict adherence to data ethics security and privacy standards Required Qualifications Bachelor s degree in Computational Linguistics Human Language Technology Data Science Computer Science or related field 1-2 years experience in data curation designing and implementing evaluation methodologies and benchmarking frameworks Strong skills in statistical and error analysis for AI model performance assessment Proficiency in Python pandas NumPy scikit-learn for data manipulation analysis and evaluation tooling Experience applying LLMs to computational linguistics tasks Native or bilingual English proficiency with excellent written and verbal communication skills able to present technical findings to diverse audiences Comfortable in fast-paced collaborative and dynamic environments Preferred Background Master s or advanced degree in Computational Linguistics Human Language Technology Data Science Computer Science or related field Familiarity with conversational AI applications such as chatbots virtual agents knowledge search summarization or human-assistive copilots Experience with testing pipelines and process automation and CI CD workflows Knowledge of additional high-demand commercial languages e g Spanish French German Portuguese Dutch Italian Japanese Chinese Korean Arabic Experience working in Agile environments and proficiency with collaboration tools e g Jira Confluence GitHub LI-GR1 LI-Virtual If a Genesys employee referred you please use the link they sent you to apply About Genesys Genesys empowers more than 8 000 organizations worldwide to create the best customer and employee experiences With agentic AI at its core Genesys Cloud TM is the AI-Powered Experience Orchestration platform that connects people systems data and AI across the enterprise As a result organizations can drive customer loyalty growth and retention while increasing operational efficiency and teamwork across human and AI workforces To learn more visit Reasonable Accommodations If you require a reasonable accommodation to complete any part of the application process or are limited in your ability to access or use this online application and need an alternative method for applying you or someone you know may contact us at You can expect a response within 24-48 hours To help us provide the best support click the email link above to open a pre-filled message and complete the requested information before sending If you have any questions please include them in your email This email is intended to support job seekers requesting accommodations Messages unrelated to accommodation such as application follow-ups or resume submissions may not receive a response Genesys is an equal opportunity employer committed to fairness in the workplace We evaluate qualified applicants without regard to race color age religion sex sexual orientation gender identity or expression marital status domestic partner status national origin genetics disability military and veteran status and other protected characteristics Please note that recruiters will never ask for sensitive personal or financial information during the application phase