Applied Scientist

Applied scientist/ Data scientist with AI and Video/ Media background experience (8+ Years’ Experience) Remote Full-timeMust: Data scientist with AI and Video/ Media background experience.Job descriptionRole OverviewWe are hiring Applied Scientists to design build and optimise Gen AI driven 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 accuracyRequired 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 stack Bedrock Lambda S3 analytics pipelineExperience in working with Video analytics media AI workflows Realtime or near realtime systemsKey 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 improvementSkillsMandatory Skills : AI/Generative AI, AWS Bedrock