Technical Lead - Artificial Intelligence/Machine Learning

You will be responsible for driving the end-to-end architecture, implementation, and scaling of multimodal AI systems in the media organization. Leading teams in delivering media understanding, personalization, search, moderation, and automation. Ensuring engineering excellence, scalability, and robustness in all AI systems. - Architect large-scale multimodal AI systems handling video, audio, and image pipelines. - Design scalable training, inference, and data ingestion systems for media AI. - Lead design of video AI features such as: - Scene detection - Video summarization - Content moderation - Annotation workflows - Multimodal search and discovery - Design and optimize RAG pipelines pulling from transcripts, frames, subtitles, metadata. You should have expertise in CV, NLP, speech models, and multimodal transformer models. A strong understanding of GPU optimization, distributed training (DeepSpeed, Horovod), and experience with real-time/near-real-time video processing. Hands-on experience with MLflow, Ray, Airflow, KServe, Triton Inference Server, Vector DBs, RAG, LangChain is essential. - Expertise in CV, NLP, speech models, and multimodal transformer models. - Strong understanding of GPU optimization, distributed training (DeepSpeed, Horovod). - Experience with real-time/near-real-time video processing. - Hands-on with: - MLflow, Ray, Airflow - KServe, Triton Inference Server - Vector DBs, RAG, LangChain Preferred skills include experience with broadcast/OTT platforms, MAM systems, DAM workflows, and generative imaging (Stable Diffusion) or video generation. You should have 7 to 10 years of AI/ML experience, including leadership roles, and at least 5 years of ML engineering experience. A Bachelors/Masters in CS/AI is required.,