GPU Computing/Deep Learning/NVIDIA CUDA/Trainer-Part Time

SkillDzire is committed to empowering engineering graduates with industry-relevant skills that drive professional opportunities. Believing that skillsets are the foundation of success, we focus on equipping individuals to create impactful change in a systematic and efficient manner. Our programs are designed to bridge the gap between academic learning and real-world applications, thereby fostering success in competitive job markets.

This is a part-time remote role for a Trainer specializing in GPU Computing, Deep Learning, and NVIDIA CUDA. The Trainer will develop, deliver, and evaluate online learning sessions focused on equipping students with cutting-edge skills. Responsibilities include creating training materials, delivering practical demonstrations, providing mentorship, and ensuring the transfer of theoretical and practical knowledge effectively to students.

• Expertise in GPU Computing, NVIDIA CUDA, and Deep Learning.
• Strong programming skills in Python and C++ with a focus on machine learning and AI technologies.
• Experience with developing training materials, designing course content, and conducting classes online.
• Ability to mentor and guide learners in both theoretical and hands-on learning of new technologies.
• Excellent communication and presentation skills to effectively engage and inspire students.
• Understanding of industry trends and the ability to illustrate real-world use cases.
• Proven knowledge in parallel programming, tensor operations, and model optimization is a plus.
• Bachelors or Masters degree in Computer Science, Engineering, AI, or a related field is preferred.