Note: The job is a remote job and is open to candidates in USA. Galent is hiring an Applied Data Scientist to design, build, and optimize generative AI-driven multimodal pipelines for detecting contextual moments in live video streams. The role focuses on prompt engineering, multimodal inference, model optimization, structured metadata generation, AWS integration, validation, and production improvement.
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 GenAI outputs into Structured JSON metadata
- Downstream systems and pipelines
- Work with AWS services such as Amazon Bedrock GenAI models Lambda S3 Kinesis data pipeline
- Collaborate with QA team for output validation and optimisation
- Support production rollout and continuous improvement
Skills
- Strong experience in Prompt engineering for foundation models Claude Nova etc
- Multimodal AI systems vision NLP
- Handson 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 Realtime or near Realtime systems
Company Overview