At a Glance
- Tasks: Deploy and optimise cutting-edge Text-to-Speech models for large-scale applications.
- Company: Join a pioneering team in Conversational AI and TTS innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team environment with exciting challenges and career advancement opportunities.
- Why this job: Be at the forefront of AI technology and make a real impact in the industry.
- Qualifications: MSc or PhD in Computer Science with 3-5 years of relevant experience.
The predicted salary is between 63000 - 77000 £ per year.
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, Tensor RT, or Torch Serve to streamline model deployment and scaling.
- Work on deploying complex pipelines in production, ensuring seamless integration with existing systems.
Must-Have Qualifications
- MSc or Ph D 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, Tensor RT, Torch Serve).
- Experience with GPU scaling for large-scale machine learning models.
- Expertise in deploying complex machine learning pipelines in production environments.
Desirable Skills
- Proficiency with Py Torch 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.
Machine Learning Engineer in Bolton employer: ConnexAI
At ConnexAI, we pride ourselves on being an excellent employer by fostering a collaborative and innovative work culture that empowers our employees to thrive. Our Manchester office offers a dynamic environment where you can engage in meaningful AI projects while benefiting from continuous learning and growth opportunities. Join us to be part of a global team dedicated to shaping the future of language technology, all while enjoying the excitement of working at the forefront of AI advancements.
