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As a Senior Machine Learning Engineer, you will be instrumental in deploying state-of-the-art Text-to-Speech models. You will be responsible for scaling and optimising TTS systems, ensuring they are production-ready and capable of running efficiently on large-scale deployments.
Join our Team!
We are at the forefront of revolutionising Text-to-Speech (TTS) and Speech Synthesis in Conversational AI, and were looking for a skilled Senior Machine Learning Engineer to join our expanding team.
Key Responsibilities:
* Collaborate closely with the TTS team to deploy and scale advanced models in production environments.
* Lead efforts in optimising TTS pipelines for performance and scalability, particularly focusing on GPU utilisation.
* Implement and maintain LLM (Large Language Models) and transformers, ensuring efficient inference on a large scale.
* Integrate and manage LLM-based inference servers like Triton, TensorRT, or TorchServe to streamline model deployment and scaling.
* Work on deploying complex pipelines in production, ensuring seamless integration with existing systems.
Must-Have Qualifications:
* MSc or PhD in Computer Science or a related field.
* 3-5 years of hands-on experience deploying and scaling machine learning solutions in production.
* Strong Python programming skills.
* Proven experience in deploying and optimising LLMs/transformers in production environments.
* Knowledge of LLM inference servers (e.g., Triton, TensorRT, TorchServe).
* Experience with GPU scaling for large-scale machine learning models.
* Expertise in deploying complex machine learning pipelines in production environments.
Desirable Skills:
* Proficiency with PyTorch and Hugging Face transformers.
* Experience with neural audio codecs (e.g., Encodec).
* Background in Text-to-Speech (TTS) development.
* Experience with advanced techniques such as Residual Vector Quantization (RVQ), Generative Adversarial Networks (GANs), and diffusion models.
Seniority level
* Seniority level
Mid-Senior level
Employment type
* Employment type
Full-time
Job function
* Job function
Engineering and Information Technology
* Industries
Software Development
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