Senior Specialist - Data Sciences

Role overview:   We are hiring Applied Scientists to design build and optimise Gen AIdriven multimodal pipelines for detecting contextual moments in live video streams This role focuses on prompt engineering multimodal inference and model optimisation using foundation models Claude Nova Bedrock to maximise detection accuracy Key   Responsibilities Design and optimise prompt engineering strategies for foundation models Build pipelines for multimodal inference video transcript audio Detect and classify custom moments and contextual events Develop reusable frameworks for Moment detection templates Structured metadata generation Finetune prompts and configurations to improve   Accuracy Precision across moment types Integrate Gen AI outputs into Structured JSON metadata Downstream systems and pipelines Work with AWS services such as Amazon Bedrock Gen AI models Lambda S3 Kinesis data pipeline Collaborate with QA team for output validation and optimisation Support production rollout and continuous improvement   Required Skills Experience   Strong experience in Prompt engineering for foundation models Claude Nova etc Multimodal AI systems vision NLP   Hands-on experience with LLM inference and optimisation Structured outputs JSON generation and validation Strong Python programming and data pipeline skills Familiarity with AWS cloud stack Bedrock Lambda S3 analytics pipeline Experience in working with Video analytics media AI workflows Real-time or near real-time systems

Mandatory Skills : AI/Generative AI, AWS Bedrock