computer vision /machine learning

Senior Solutions Engineer/Computer Vision (Nvidia exp)

Location: (Remote CA, WA, NY, NJ, PA)

What You’ll Be Doing :

• Using NVIDIA's 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.

Qualifications:

• 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

What You’ll Be Doing:

• 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 NVIDIA 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.