Machine Learning Engineer

3 weeks ago

Manchester Area, United Kingdom ConnexAI Full time

Role: Senior Machine Learning Engineer (Text-to-Speech)

Function: Text-to-Speech


Join our Team

We are at the forefront of revolutionising Text-to-Speech (TTS) and Speech Synthesis in Conversational AI, and we're looking for a skilled Senior Machine Learning Engineer to join our expanding team.


The Role

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.


Key Responsibilities:

  • Collaborate closely with the TTS team to deploy and scale advanced models in production environments.
  • Lead efforts in optimizing 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.

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