Applied Data Scientist
Role: Applied Data Scientist Location: Remote (Canada) Domain: Media & Entertainment Role Overview: We are hiring Applied Scientists (1 Lead + 2 ICs) to design, build, and optimise GenAI-driven multi-modal pipelines for detecting contextual moments in live video streams. This role focuses on prompt engineering, multimodal inference, and model optimisation using foundation models (Claude, Nova, Bedrock) to maximise detection accuracy. Key Responsibilities: Design and optimise prompt engineering strategies for foundation models. Build pipelines for multi-modal inference (video + transcript +…
- Remote
- ["Canada"]
- Posted Jul 14, 2026
- 1 position
Job summary
Role: Applied Data Scientist Location: Remote (Canada) Domain: Media & Entertainment Role Overview: We are hiring Applied Scientists (1 Lead + 2 ICs) to design, build, and optimise GenAI-driven multi-modal pipelines for detecting contextual moments in live video streams. This role focuses on prompt engineering, multimodal inference, and model optimisation using foundation models (Claude, Nova, Bedrock) to maximise detection accuracy. Key Responsibilities: Design and optimise prompt engineering strategies for foundation models. Build pipelines for multi-modal inference (video + transcript + audio). Detect and classify custom moments and contextual events Develop reusable frameworks for Moment detection templates Structured metadata generation, Fine-tune 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. Required Skills & Experience: Strong experience in: Prompt engineering for foundation models (Claude, Nova, etc.).Multi-modal AI systems (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 in working with: Video analytics / media AI workflows Real-time or near real-time systems
What you’ll do
The Applied Data Scientist will design and optimize prompt engineering strategies and build pipelines for multi-modal inference. They will also detect and classify custom moments and contextual events in live video streams.
Requirements
Candidates should have strong experience in prompt engineering for foundation models and multi-modal AI systems. Hands-on experience with LLM inference and optimization, as well as familiarity with AWS services, is also required.
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Prompt Engineering
- Multi-Modal AI Systems
- LLM Inference
- Model Optimisation
- Python Programming
- Data Pipeline Skills
- Video Analytics
- Media AI Workflows
- Real-Time Systems
- AWS Services
- Structured Outputs
- JSON Generation
- Fine-Tuning
- Collaboration
- Continuous Improvement
Additional details
- Minimum experience
- 5+ years