AI/ ML Project Architect jobs in United States
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Scalence L.L.C. · 1 day ago

AI/ ML Project Architect

Scalence L.L.C. is a company focused on innovative technology solutions, and they are seeking an AI/ ML Project Architect to design and architect scalable AI/ML solutions. The role involves leading the solution lifecycle, guiding teams on integration, and ensuring architectural integrity and performance.

Information Technology & Services

Responsibilities

Design and architect scalable AI/ML solutions tailored for edge deployment
Lead the full solution lifecycle from proof-of-concept to production
Guide cross-functional teams on the integration of AI/ML models into edge devices (IoT, gateways, embedded platforms)
Collaborate with stakeholders to translate business needs into technical specifications
Ensure architectural integrity, security, and performance
Establish best practices for model training, inference pipelines, and MLOps
Evaluate and select hardware and software tools (e.g., NVIDIA Jetson, Coral, OpenVINO, TensorRT)
Oversee data pipelines for real-time and offline data processing

Qualification

AI/ML solutions designMLOps best practicesEdge deploymentNVIDIA JetsonCoralOpenVINOTensorRTStakeholder collaborationArchitectural integrityCross-functional team guidance

Required

Design and architect scalable AI/ML solutions tailored for edge deployment
Lead the full solution lifecycle from proof-of-concept to production
Guide cross-functional teams on the integration of AI/ML models into edge devices (IoT, gateways, embedded platforms)
Collaborate with stakeholders to translate business needs into technical specifications
Ensure architectural integrity, security, and performance
Establish best practices for model training, inference pipelines, and MLOps
Evaluate and select hardware and software tools (e.g., NVIDIA Jetson, Coral, OpenVINO, TensorRT)
Oversee data pipelines for real-time and offline data processing
Experience Required: 10 & Above

Company

Scalence L.L.C.

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In today’s dynamic and competitive market, success hinges on mastering three key areas: Data Intelligence, Business Resilience, and Digital Experience.

Funding

Current Stage
Late Stage
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