About the Role
Do you want to be part of the most influential Artificial Intelligence (AI) organizations in the world? We are looking for an outstanding Data Scientist to join the NVIDIA Professional Services team. In this role, you will apply your expertise in one or more of these areas: Machine Learning, Natural Language Processing, Automatic Speech Recognition or Synthesis, Data Analytics, Recommenders, and Computer Vision. NVIDIA is the world leader in GPU accelerated computing and our professional services team advises the world's top companies on how to deploy AI at enterprise scale.
What You’ll Be Doing
- A huge part of the day-to-day job is developing end-to-end Machine Learning and Deep Learning solutions for the Enterprise. You will solve customer problems by creating solutions using the newest technology in Data Analytics & Machine Learning, Automatic Speech Recognition, Natural Language Processing, and Recommender systems.
- Document and teach others what you know and have learned through customers engagements. This can vary from building hands-on training to writing papers, developer blogs, and teaching.
- As part of a distributed team, you will work closely with other NVIDIA solution architects, engineers, Devtechs, and other experts to help recognizable brands successfully use NVIDIA software and hardware to achieve amazing outcomes.
What We Need To See
- Strong foundational expertise from a BS, MS or PhD degree in Engineering, Mathematics, Physics, Computer Science, Data Science, or similar (or equivalent experience).
- 5+ years of experience in Deep Learning and Machine Learning; experience with GPUs as well as expertise in using deep learning frameworks such as TensorFlow or PyTorch.
- Solid background in state-of-the-art Generative AI, such as Large Language and Multimodal Models for different customer use cases.
- Strong analytical and problem-solving skills.
- Strong coding development and debugging skills. Including experience with Python, C/C++, Bash, as well as Cloud services, Spark and Linux.
- Experience working with DevOps including but not limited to Docker/Containers, Kubernetes, and Data Center deployments.
- Understanding of dense data center design, including compute, Storage, and networking.
- Ability to multitask effectively in a dynamic environment.
- Clear written and oral communications skills with the ability to effectively collaborate with executives and engineering teams.
- Successful candidates will be able to demonstrate a strong desire to share knowledge with clients, partners, and co-workers.
Ways To Stand Out From The Crowd
- Experience with Training Large Deep Learning Models and Inference Deployment.
- Show a willingness and ability to dig into unfamiliar territories to tackle complex problems through examples in previous work.