Analytics Data science and IOT Principal

Must have skills:

• Hands-on experience with NVIDIA AI, GPU or edge AI technologies.
• Computer vision, video analytics or sensor-data processing experience.
• Real-time data ingestion and streaming architecture.
• Edge deployment experience across cameras, IoT devices or distributed infrastructure.
• Experience with AI model deployment, testing and optimization.
• Strong technical understanding of synthetic data, simulation or digital twins.
• Practical knowledge of containers, Kubernetes, APIs and cloud/edge integration.
• Ability to support demos, architecture discussions and technical client workshops.

Nice to have skills:

• NVIDIA Metropolis, Deep Stream, Jetson, Omniverse, Cosmos, NIM or NeMo experience.
• Crowd management, smart city, transport, airport, port, campus or public safety experience.
• Kafka, Flink, Spark Streaming or similar real-time data platforms.
• VLMs, physical AI, agentic AI or AI-assisted video understanding.
• Experience creating synthetic data pipelines or scenario libraries.
• Experience with model validation, monitoring, drift detection and performance benchmarking.
• Years of experience: For the stronger technical lead: 7–10+ years