Data Scientist

Experteer Overview In this role you design, build, and optimise GenAI-driven multimodal pipelines to detect contextual moments in live video. You will work across prompt engineering, multimodal inference, and model optimisation to maximise detection accuracy. You’ll implement reusable moment-detection templates and generate structured metadata to feed downstream systems. The position involves collaborating with QA and supporting production rollout for continuous improvement. This is a hands-on opportunity to shape real-time AI-powered video analytics using foundation models. Compensation / Benefits * 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 and integration into downstream systems * Fine-tune prompts and configurations to improve accuracy and precision * Integrate GenAI outputs into structured JSON metadata for downstream pipelines * Collaborate with QA for output validation and optimisation * Support production rollout and continuous improvement Tasks * Strong experience in prompt engineering for foundation models (Claude, Nova) * Multimodal AI systems including 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 with video analytics and media AI workflows (real-time or near real-time) Key requirements *

and and precision * Integrate GenAI outputs into structured JSON metadata for downstream pipelines * Collaborate with QA for output validation and optimisation * Support production rollout and continuous improvement Tasks * Strong experience in prompt engineering for foundation models (Claude, Nova) * Multimodal AI systems including 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 with video analytics and media AI workflows (real-time or near real-time) Key requirements *