AI Engineer - TTS focused, Generative AI
December 10
Description
• We are looking for an AI Engineer with expertise in generative AI and text-to-speech (TTS) technologies. • This role requires proficiency in TTS technologies, additionally knowledge in diffusion models, LLMs, and advanced prompting for LLMs, image and video generators, as well as hands-on experience in deploying and integrating AI solutions to production. • Utilize, train and experiment with TTS models. • Utilize and experiment with diffusion models (e.g., Flux dev, Flux schnell). • Develop prompts for LLMs and optimize inputs for image and video generators. • Implement and deploy generative AI models using Docker and containerization tools. • Integrate APIs, including Claude and OpenAI, into scalable applications. • Work with cloud platforms (AWS/GCP) for AI model deployment and optimization.
Requirements
• Proficiency in Python and widely-used AI libraries: PyTorch, Diffusers, Accelerate. • Familiarity with TTS technologies, both open-source and proprietary solutions. • Familiarity with RVC, Coqui TTS and other TTS focused tools. • Strong experience in containerization and deployment (Docker, Kubernetes). • Familiarity with cloud services (AWS/GCP) for hosting and scaling AI solutions. • Expertise with APIs integration, especially Claude, OpenAI, ElevenLabs or other similar TTS providers. • Basics of prompt engineering for LLMs and advanced prompting for image and video generation. • Familiarity with Huggingface ecosystem. • Proven track record in training & deploying TTS as well as generative AI models. • Strong experience in API integration and cloud-based deployments. • Willingness to work in a fast-paced and challenging environment. • Experience with complex multi-modal AI solutions. • Keeping up with the newest models trends and solutions on the market.
Benefits
• Fully Remote Position. • Extra bonuses may be applicable.
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