LTIMindtree is seeking an Associate Principal in Data Sciences to design, build, and optimize GenAI-driven multimodal pipelines for detecting contextual moments in live video streams. The role involves prompt engineering, multimodal inference, and model optimization using foundation models to enhance detection accuracy.
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