Aartificial intelligence, Analytical and Problem solving, AWS, Azure, Data science techniques, Deep Learning, DevOps, Docker, Effective communication skills, Google Cloud Platform (GCP), GPUs, Java Programming, Kubernetes-K8s, Machine learning techniques, MLOps tools, Python Programming
At NVIDIA, we pride ourselves on data-driven decision-making, and the data science platform team is at the heart of this initiative. We are looking for an excellent Sr. ML Platform Engineer with expertise in AI, MLOps, cloud computing, and GPU acceleration! Our platform serves as the basis for advanced real time data analytics, streaming, data lake and sophisticated ML/AI training with offline/online inferencing for NVIDIA's cloud services like Cloud gaming, Cloud Deep Learning, Autonomous Vehicles, Omniverse etc. As a ML Platform Engineer, you'll design and build enterprise-level AI solutions using groundbreaking NVIDIA technology. You'll work with internal engineering teams to deploy and operationalize AI at scale by driving adoption for end-to-end Machine Learning and Deep Learning solutions in the cloud!
What you'll be doing:
Build and deploy AI/ML solutions at scale using NVIDIA's AI software on cloud-based GPU platforms
Using your skills in AI, MLOps, ML engineering, DevOps, Kubernetes, and orchestration to deploy serverless solutions
Creating microservices for task-specific AI cloud services
Improving service reliability, observability, develop UI and APIs to improve user experience
What we need to see:
Ways to stand out from the crowd:
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!
NVIDIA’s invention of the GPU sparked the PC gaming market. The company’s pioneering work in accelerated computing—a supercharged form of computing at the intersection of computer graphics, high performance computing and AI—is reshaping trillion-dollar industries, such as transportation, healthcare and manufacturing, and fueling the growth of many others.
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