Associate Principal - Data Sciences
LTM
Role OverviewWe are hiring Applied Scientists to design build and optimise GenAIdriven multimodal pipelines for detecting contextual moments in live video streamsThis role focuses on prompt engineering multimodal inference and model optimisation using foundation models Claude Nova Bedrock to maximise detection accuracyKey ResponsibilitiesDesign and optimise prompt engineering strategies for foundation modelsBuild pipelines for multimodal inference video transcript audioDetect and classify custom moments and contextual eventsDevelop reusable frameworks forMoment detection templatesStructured metadata generationFinetune prompts and configurations to improveAccuracyPrecision across moment typesIntegrate GenAI outputs intoStructured JSON metadataDownstream systems and pipelinesWork with AWS services such asAmazon Bedrock GenAI modelsLambda S3 Kinesis data pipelineCollaborate with QA team for output validation and optimisationSupport production rollout and continuous improvementRequired Skills ExperienceStrong experience inPrompt engineering for foundation models Claude Nova etcMultimodal AI systems vision NLPHandson experience withLLM inference and optimisationStructured outputs JSON generation and validation Strong Python programming and data pipeline skillsFamiliarity with AWS cloud stackBedrock Lambda S3 analytics pipelineExperience in working withVideo analytics media AI workflows Realtime or near realtime systems
Vacancy posted 15 hours ago
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