AI Architect for TV Network's AI Modules

Замовник: AI | Опубліковано: 09.12.2025

We are hiring an AI Architect to design and scale all 10 AI modules of LocalAI TV: 1. AI News Generator (LLM + RAG) 2. AI Voice Anchor (Multilingual TTS) 3. AI Avatar Anchor (Lip Sync Video) 4. AI Auto Video Editor 5. AI Citizen Reporter Engine 6. AI Voice Bot (Phone Call Assistant) 7. AI Moderation System 8. AI Ad Recommendation Engine 9. AI Automation System 10. AI Analytics Dashboard KEY RESPONSIBILITIES • Architect end-to-end LLM, ASR/TTS, video AI, and automation systems • Design scalable microservices, pipelines, and model-serving infrastructure • Lead 5–10 AI/ML engineers; review code, architecture, and deployments • Integrate vector DBs, GPU/CPU inference layers, orchestration tools • Optimize cost, latency, and compute for 100+ town-level channels • Build reusable AI components for summarization, TTS, ASR, moderation, editing • Work closely with product teams for roadmap and feature design REQUIRED TECHNICAL EXPERTISE LLM & NLP: • GPT, LLaMA, Claude, Gemini • RAG pipelines, embeddings, summarization Voice AI: • TTS (Azure, ElevenLabs, Coqui) • ASR (Whisper, NeMo) • SSML, voice cloning, audio DSP Video & Avatar AI: • FFmpeg automation, OpenCV, Whisper • Wav2Lip, SyncNet, avatar generation (D-ID, Synthesia) Computer Vision: • YOLO models, segmentation, OCR, moderation filters MLOps & Architecture: • Kubernetes, Docker, FastAPI • Model serving (Triton, TorchServe) • Vector DBs (Pinecone, Weaviate, FAISS) • Airflow, Temporal, CI/CD Backend Systems: • Distributed systems, microservices • REST & WebSocket services • AWS/GCP/Azure infrastructure PREFERRED QUALIFICATIONS • Experience in media, OTT, broadcast, or ad-tech • Prior role as AI Architect / Principal Engineer • Proven expertise across voice + video + LLM integration COMPENSATION • Competitive salary WHY JOIN LOCALAI TV? • Architect AI-powered TV network • Work on cutting-edge AI systems at massive scale • Leadership role with high ownership and visibility • Transform the future of hyperlocal media