Solution Architect

• Passionate about learning new technologies
• Love building products and balance competing priorities
• Strong engineering rigor is how you're wired
• New wave entrepreneur.

• Using ecosystem: NIMs, Metropolis, Nemo, Riva, Triton, Via, and others, to develop solutions , on the foundation of machine learning models and algorithms for computer vision applications in public safety, retail, logistics, and many other industries.
• Stay up to date and perform research, experimentation, and prototyping to improve the accuracy and efficiency of computer vision systems.
• Train, fine-tune, and optimize AI models to handle a variety of tasks, optimizing to the core.
• Create robust, scalable, and production ready deployment AI solutions.
• Customer champion, collaborate with Clients, Architects, Engineers, and other multidiscipline teams exceeding requirements.

• MS/PhD degree in Machine Learning, Computer Science, Computer Engineering, Electrical Engineering, Software Engineering, Data Science or related fields preferred (open to BS with relevant professional and/or academic experience)
• Minimum 5+ years experience working in computer vision, machine learning, and AI environments
• Expertise using computer vision libraries such as PyTorch, YOLO, TensorFlow, Keras, scikit-learn, OpenCV, PIL, and autoencoders is essential.
• Expertise in unsupervised, and semi-supervised learning techniques
• Experience using traditional computer vision techniques

• Chief Customer Evangelist: Lead solutions engineering engagements throughout the platform lifecycle, driving innovation and excellence.
• Collaborate with Sales, Client Partners, Architects, Architects, and Technical Teams to plan and build large-scale AI and data systems using NVIDIA s latest technologies. You will apply processing, interconnect products such as NeMo, Riva, RAPIDS, Triton, and many more SDKs and libraries supported on different hardware configurations.
• Co-develop pilot projects and contribute to the innovation of new SDKs.
• Communicate effectively with customers and Centific management.
• Provide feedback to engineering and marketing teams to enhance product offerings and customer experience

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