Ai/ML Engineer ( Story Tv )

About EloeloEloelo 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 OverviewWe 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 DoResearch, fine-tune, and deploy Large Language Models (LLMs) for conversational and interactive use casesBuild and improve speech-to-text (ASR) and text-to-speech (TTS) systemsDevelop voice-to-voice pipelines with low latency and high reliabilityExperiment with multimodal AI systems combining voice, text, and contextDesign evaluation frameworks for model quality, latency, and user experienceOptimise models for real-time inference at scaleWork closely with backend, infra, and product teams to ship AI features into productionStay up-to-date with the latest research and translate it into practical applications Required Skills & Experience4–6 years of hands-on experience in AI / ML engineering or applied researchStrong 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 pipelinesStrong programming skills in PythonExperience with deep learning frameworks such as PyTorch / TensorFlowSolid understanding of neural networks, transformers, and sequence modelsExperience deploying models into production systemsFamiliarity with cloud infrastructure (AWS / GCP)Strong problem-solving mindset and experimental approach Good to HaveExperience with real-time / low-latency systemsExposure to multilingual speech modelsExperience working with streaming audio pipelinesFamiliarity with MLOps (model versioning, monitoring, CI/CD)Contributions to research papers, open-source projects, or blogsExperience in consumer-scale or real-time platforms Why Join EloeloWork on cutting-edge voice and multimodal AI problemsHigh ownership in defining AI architecture and research directionOpportunity to ship research into real user-facing productsCollaborate with a highly driven, curious, and fast-moving teamBuild AI systems that operate at a global scale