Solution Architect, Financial Services

We are looking for a Solution Architect to work with financial institutions and their technology ecosystem to leverage NVIDIA's advanced technologies. You will guide customers in implementing next-generation model distillation, domain adaptation, reinforcement learning (RL), and post-training algorithms by helping them adopt NVIDIA AI SDKs and APIs.

Requirements

• BS, MS, or PhD degree in Machine Learning, Computer Science, Engineering, Mathematics, Physics, or a related technical field.
• Financial Services Background: Proven experience working within Financial Services firms.
• AI Framework Expertise: 5+ years of experience with AI frameworks such as PyTorch, JAX, or TensorFlow, and libraries like Hugging Face Transformers.
• Programming Proficiency: Strong Python programming, software design, and debugging skills.
• Parallelism & CUDA: Deep understanding of distributed computing and parallelism methodologies (model and data parallelism) coupled with a good understanding or hands-on experience with CUDA.
• Model Lifecycle: Experience with AI model lifecycle components, including pre-training, supervised fine-tuning, and model evaluation.
• Adaptability: Capable of working in a constantly evolving environment and quickly adapting to change.
• Communication: Clear written and oral communication skills with the ability to effectively collaborate with executives and engineering teams.

Benefits

• Highly competitive salaries
• Extensive benefits package
• Diversity, inclusion, and flexibility
• Supportive and empowering workplace