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