Overview
Skills
Job Details
About the Role
We are a leading media and entertainment firm seeking an AI / LLM Developer to help build the next generation of streaming analytics and audience intelligence applications. This role goes beyond chatbots, focusing on large-scale AI integration for personalization, content insights, and real-time engagement analytics across global media platforms.
What You ll Do
Design and implement AI/ML models that power real-time streaming analytics (audience behavior, content trends, predictive engagement).
Leverage LLMs for content tagging, summarization, and contextual recommendations in large media libraries.
Build scalable pipelines to integrate AI models into streaming platforms and dashboards.
Collaborate with product and engineering teams to identify where AI can drive personalization, predictive analytics, and content discovery.
Apply NLP and LLMs for metadata enrichment, transcription, and contextual analysis of live and on-demand streams.
Optimize models for low latency and high throughput in real-time media environments.
Contribute to AI governance, model evaluation, and responsible deployment practices.
Qualifications
5+ years of experience in AI/ML engineering or applied data science.
Strong background in Python and at least one ML/AI framework (PyTorch, TensorFlow, Hugging Face).
Experience deploying models into production (REST APIs, microservices, or streaming frameworks).
Familiarity with real-time data pipelines (Kafka, Flink, Spark Streaming, or similar).
Hands-on experience with LLMs for NLP/NLU tasks beyond chat, such as summarization, classification, entity extraction, or semantic search.
Understanding of cloud platforms (AWS, Azure, or Google Cloud Platform) and containerization (Docker, Kubernetes).
Strong problem-solving skills and ability to translate business/media use cases into AI solutions.
Preferred Skills
Experience with recommendation engines for streaming/media.
Knowledge of vector databases (Pinecone, Weaviate, FAISS) for contextual search.
Exposure to reinforcement learning or bandit algorithms for adaptive personalization.
Familiarity with media formats, codecs, or streaming protocols is a plus.
Why Join Us
Shape the future of AI in streaming and media intelligence.
Work with massive, real-time datasets and cutting-edge AI/LLM technologies.
Collaborate with creative, product, and engineering teams to bring smarter, more engaging experiences to global audiences.
Competitive salary, full benefits, and strong growth opportunities.