Machine Learning Engineer
ConnexAI · Manchester, England ·
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.