AI/ML Engineer ( Story TV )

About the role

We are looking for an AI Engineer with strong hands-on experience in LLM fine-tuning, speech recognition, and voice-to-voice systems. This is a research-driven yet production-focused role, where you’ll experiment with cutting-edge models and take them all the way to scalable, real-world deployment.

What you'll do

• You will help shape Eloelo’s next-generation AI stack, working on systems that power real-time voice interactions at a global scale.
• Research, fine-tune, and deploy Large Language Models (LLMs) for conversational and interactive use cases
• Build and improve speech-to-text (ASR) and text-to-speech (TTS) systems
• Develop voice-to-voice pipelines with low latency and high reliability
• Experiment with multimodal AI systems combining voice, text, and context
• Design evaluation frameworks for model quality, latency, and user experience
• Optimise models for real-time inference at scale
• Work closely with backend, infra, and product teams to ship AI features into production

What they're looking for

• 4, 6 years of hands-on experience in AI / ML engineering or applied research
• Strong experience with LLMs (fine-tuning, prompt engineering, RAG, inference optimisation)
• Experience with deep learning frameworks such as PyTorch / TensorFlow
• Solid understanding of neural networks, transformers, and sequence models
• Familiarity with cloud infrastructure (AWS / GCP)
• Strong problem-solving mindset and experimental approach
• Familiarity with MLOps (model versioning, monitoring, CI/CD)
• Contributions to research papers, open-source projects, or blogs

About Eloelo Group (StoryTV)