Sr Data Scientist
Data Science
Remote
Posted on Aug 12, 2026
Our client is currently seeking a Sr Data Scientist
This role will help connect NVIDIA-enabled capabilities with the broader data platform, supporting advanced use cases across areas such as physical AI, intelligent systems, robotics, digital twins, computer vision, autonomous operations, and high-performance AI-enabled workflows.
The ideal candidate combines hands-on experience with NVIDIA technologies and accelerated computing with a strong understanding of real-time data engineering, edge/cloud architectures, and production deployment patterns.
Key Responsibilities
· Design and implement real-time data and AI pipelines for emerging technology and operational use cases
· Build and optimize GPU-enabled workflows for video, telemetry, computer vision, simulation, and streaming inference
· Integrate edge AI deployments with broader enterprise or product data platforms
· Support deployment patterns for edge inferencing, model serving, event-driven processing, and real-time decision support
· Collaborate with data engineering and architecture teams to ensure AI and edge pipelines align with enterprise data models and control requirements
· Contribute to use cases involving physical AI, robotics, intelligent environments, digital twins, infrastructure monitoring, and operational intelligence
· Optimize performance, scalability, and reliability of accelerated workloads
· Help define reusable platform patterns for production-grade real-time AI
· Work with internal engineering teams and ecosystem partners to support deployment and operationalization
· Support evaluation of tools, frameworks, and architectures relevant to NVIDIA-powered solutions
Required Qualifications
· Minimum 5 years’ experience; experience in AI/ML and python coder.
· LLM experience and prompting
· Strong experience with NVIDIA ecosystem technologies and GPU-accelerated computing
· Experience with edge AI, real-time inference, or streaming AI workloads
· Strong understanding of computer vision, sensor data processing, simulation, or telemetry-driven AI pipelines
· Experience designing and deploying edge-to-cloud architectures
· Experience integrating AI workflows into broader data platforms and operational systems
· Hands-on engineering capability across model deployment, runtime optimization, and data pipeline integration
· Strong knowledge of production deployment patterns for real-time AI systems
· Ability to work across data, infrastructure, and AI teams
Preferred Qualifications
· Experience in physical AI, industrial AI, robotics, smart infrastructure, autonomous systems, or other frontier technology environments
· Familiarity with digital twins, simulation platforms, or operational technology ecosystems
· Experience with video analytics, event processing, and high-throughput real-time pipelines
· Experience with MLOps, AI platform engineering, or edge operations at scale
· Experience working with heterogeneous sensor, device, or camera environments
Ideal Candidate Profile
· Deep technical specialist with practical delivery orientation
· Comfortable in edge, real-time, and operational environments
· Strong problem solver who can bridge AI, infrastructure, and data engineering
· Able to translate emerging technology into deployable solutions
· Comfortable working in multidisciplinary, fast-moving innovation programs
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