AI/ML Engineer ( Story TV )

About Eloelo

Eloelo is building the future of live interactive entertainment, where real-time voice, video, and AI come together to create deeply engaging social experiences. Beyond live streaming, Eloelo is evolving into a platform for micro drama, micro learning, and narrative-driven content, enabling creators to tell short, high-impact stories and deliver bite-sized learning in interactive formats. Operating at massive scale, we are investing heavily in multimodal AI to redefine how users interact, express, learn, and connect in real time.

Role Overview

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.

You will help shape Eloelo’s next-generation AI stack, working on systems that power real-time voice interactions at a global scale.

What You Will Do

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

Stay up-to-date with the latest research and translate it into practical applications

Required Skills & Experience

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)

Hands-on experience with speech technologies:

Automatic Speech Recognition (ASR)

Text-to-Speech (TTS)

Voice-to-Voice pipelines

Strong programming skills in Python

Experience with deep learning frameworks such as PyTorch / TensorFlow

Solid understanding of neural networks, transformers, and sequence models

Experience deploying models into production systems

Familiarity with cloud infrastructure (AWS / GCP)

Strong problem-solving mindset and experimental approach

Good to Have

Experience with real-time / low-latency systems

Exposure to multilingual speech models

Experience working with streaming audio pipelines

Familiarity with MLOps (model versioning, monitoring, CI/CD)

Contributions to research papers, open-source projects, or blogs

Experience in consumer-scale or real-time platforms

Why Join Eloelo

Work on cutting-edge voice and multimodal AI problems

High ownership in defining AI architecture and research direction

Opportunity to ship research into real user-facing products

Collaborate with a highly driven, curious, and fast-moving team

Build AI systems that operate at a global scale