Middle ASR Engineer at Omilia

, , Portugal -

Full Time

Start Date

Immediate

Expiry Date

23 Feb, 26

Salary

0.0

Posted On

25 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Audio Signal Processing, Language Modeling, Data Augmentation, Phonetic Lexicon Curation, Acoustic Models, Voice Activity Detection, Linux Environment, Communication Skills, Analytical Thinking, Attention to Detail, GitLab, Jira, Digital Signal Processing, Machine Learning, Phonetics, Python

Industry

Software Development

Description

We are seeking an ASR Engineer to join our Solution Delivery team. You will be part of a talented software team that delivers the latest in Conversational AI and Virtual Agent technologies, bringing advanced voice-driven solutions to enterprises across the world. As part of this team, you will be trained on Omilia's Conversational AI platform and Speech-to-Text suite, working with cutting-edge technologies in signal processing and speech recognition. Key Accountabilities: Audio signal processing, corpus processing & management, text normalization. Language modeling: training, evaluating, and optimizing language models for voice-enabled Conversational AI applications. Data augmentation for Language Models using various approaches including Generative AI. Phonetic lexicon curation. Developing and optimizing acoustic models for various languages, environmental conditions, and channels. Analyzing performance and optimizing existing Voice Activity Detection (VAD) models. Working with individuals from diverse backgrounds to analyze requirements and customize the ASR solution to enhance application performance. Academic Degree in Computer Science, Electrical Engineering, Computational Linguistics, Speech & Language Processing, a related field, or equivalent experience. Mid-Level Programming Knowledge, with a preference for BASH and Python scripting; however, Java or C++ are also acceptable. Familiarity with any of the following: Digital Signal Processing, language and acoustic modeling concepts for ASR, machine learning algorithms, phonetics and phonology. Comfort working in a Linux environment. Excellent command of spoken and written English. Strong communication skills. Ambition, enthusiasm, eagerness to learn, analytical and creative thinking, strong attention to detail. Well-organized for both team and/or solo assignments. Accountable within demanding deadlines. Familiarity with GitLab and Jira. Nice to have: Experience working with ASR platforms. Experience with speech analysis software such as Praat. Experience with voice-enabled conversational automated dialog systems. Experience in any production-level ASR/NLU/NLP solutions. Familiarity with ML frameworks such as PyTorch. Knowledge of additional languages (preferably Dutch and Scandinavian languages). Familiarity with linguistic concepts or a background in linguistics. 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.

Responsibilities

The ASR Engineer will focus on audio signal processing, language modeling, and optimizing acoustic models for voice-enabled applications. They will also analyze performance and customize ASR solutions to enhance application performance.