NVIDIA Edge AI Specialist

SNI is serving as a trusted IT Outsourcing partner in line with the needs of World's most prestigious firms and carried out successful projects worldwide.

Scope:
• Design and implement real-time AI and data pipelines for edge and operational environments
• Build and optimize GPU-accelerated workflows for video analytics, telemetry, computer vision, simulation, and streaming inference
• Integrate NVIDIA-powered edge AI solutions with enterprise data platforms and operational systems
• Support deployment of edge inferencing, model serving, event-driven architectures, and real-time processing solutions
• Collaborate with data engineering, AI, and infrastructure teams to align AI pipelines with enterprise architecture and governance standards
• Contribute to use cases involving physical AI, robotics, intelligent systems, digital twins, and operational intelligence
• Evaluate emerging tools, frameworks, and architectures related to NVIDIA and accelerated computing ecosystems
• Work closely with engineering teams and ecosystem partners to support innovation initiatives and advanced AI-enabled workflows

Skills:
• Strong hands-on experience with NVIDIA ecosystem technologies and GPU-accelerated computing
• Experience with edge AI, real-time inference, streaming analytics, and event-driven processing
• Strong knowledge of computer vision, sensor telemetry, simulation systems, and operational AI pipelines
• Experience designing and deploying edge-to-cloud architectures
• Experience integrating AI workloads into enterprise data platforms and operational systems
• Strong understanding of production deployment patterns for real-time AI and edge computing environments
• Hands-on experience with model deployment, runtime optimization, and AI pipeline engineering
• Knowledge of high-throughput data processing and scalable distributed systems
• Familiarity with digital twins, robotics, industrial AI, autonomous systems, or smart infrastructure environments
• Experience with MLOps, AI platform engineering, and operational AI at scale is a plus

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