verbex
verbex

NLP Engineer

TLDR

Design, develop, and optimize TTS, STT, and LLM systems; integrate across applications and deploy scalable voice AI solutions with Docker and Kubernetes.

Your mission

  • Design, develop, and optimize cutting-edge TTS, STT, LLM solutions, and conversational AI systems leveraging deep learning, hybrid models, and state-of-the-art speech-to-speech foundation models.

  • Work comprehensively with cross-functional teams to integrate these technologies into various applications, ensuring seamless user experiences. 

  • Research and integrate advanced speech foundation models such as SpeechGPT, Moshi, LlaMA-Omni, and similar technology

  • Build robust, scalable voice AI applications with low latency, high accuracy, and adaptability across diverse accents and dialects.

  • Conduct post-training optimization using ONNX, TensorRT, and VLLM

  • Enhance our verbex.ai systems through continuous research on our in-house NLP components

  • Deploy your research model at scale using Docker and Kubernetes with high-availability

  • Write clean, efficient, maintainable code and documentation

Your profile

  • 2+ years of experience in related technologies

  • Demonstrated expertise in training, fine-tuning, and optimizing STT, TTS, LLM, and advanced speech-to-speech foundation models.

  • Strong hands-on experience with cutting-edge speech technologies

  • Proficient in speech data preprocessing, feature extraction, acoustic modeling, and language modeling.

  • Solid understanding of phonetics, prosody modeling, text normalization, and integration techniques for natural-sounding speech synthesis.

  • Strong background in signal processing, acoustic modeling, speech enhancement, and noise reduction techniques.

  • Experience with Agile/Scrum methodologies and a collaborative, team-oriented mindset.

  • Fluent in Bangla and English with excellent verbal and written communication skills.

Additional Qualification

  • Advanced knowledge of audio signal processing techniques.

  • Experience deploying speech and NLP models in Docker-based microservices architectures.

  • Familiarity with Linux and cloud-based environments like GCP

  • Proficiency in version control (Git) and CI/CD pipelines.

  • Prior experience in multilingual speech processing and modeling.

  • Strong ability to read, comprehend, and apply insights from research papers and patents.

What we offer

  • Contribute to a meaningful mission by democratizing technology access.

  • Engage with cutting-edge NLP and speech technologies, including innovative speech foundation models and advanced audio codes.

  • Work alongside talented professionals in an agile, creative, and collaborative environment.

  • Receive competitive compensation and comprehensive benefits.

  • Publish your research work

If you're passionate about speech and NLP engineering, especially leveraging advanced speech foundation models, ASR, TTS, and LLM, and you want your work to have a tangible societal impact, we'd love to hear from you!

Benefits

Health Insurance

comprehensive benefits.

Research publication support

Publish your research work

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