Speech AI Engineer

We are looking for a highly skilled Speech AI Engineer to join our dynamic team. The ideal candidate will have hands-on experience in building and optimizing speech AI models across tasks such as Speech Recognition, Language Identification, Speaker Verification, Speaker Diarization, and other related speech AI tasks. You should have a deep understanding of speech processing techniques and be proficient in both Conformer and Transformer architectures. Expertise in Python3, PyTorch, ONNX, and containerization tools is essential, along with a strong focus on clean, modular code practices.

Key Responsibilities:

* Design, develop, and optimize Speech AI models in various tasks including Speech Recognition, Language Identification, Speaker Verification, and Speaker Diarization.

* Implement and fine-tune Conformer, Transformer, and other state-of-the-art neural network architectures for speech processing.

* Work with Python3, PyTorch, ONNX, and other related technologies for model building and deployment.

* Debug and troubleshoot issues in Torch, TensorFlow, and speech AI model servers.

* Optimize and deploy models using ONNX and other optimization tools to ensure high performance and scalability.

* Follow standard best practices for modular and clean code.

* Collaborate with cross-functional teams to integrate models into production environments.

* Work with version control systems like Git and utilize containerization for smooth deployment.

Qualifications:

* 1+ years of hands-on experience with Speech AI models and architectures like Conformer and Transformer.

* Proficiency in Python3, Torch, ONNX, and model optimization techniques.

* Deep understanding of speech processing concepts.

* Experience with containerization tools (e.g., Docker) and version control systems like Git.

* Ability to debug and solve issues in Torch, TensorFlow, and model servers.

* Strong problem-solving skills with attention to detail and clean coding practices.

Nice to Have:

* Experience with speech AI model servers.

* Familiarity with large-scale model deployment and optimization techniques.

Interested ? fill out the attached google form.

https://forms.gle/qfteqfiqwqCzTWS9A

(Please note, candidates who don’t fill out the form won’t be considered).