Senior Solutions Architect Financial Services

About the Role

The Senior Solutions Architect Financial Services joins an experienced team of Quants and Data Scientists, engaging the finance industry to drive full-stack accelerated computing. You will partner with NVIDIA Engineering, Product, and Sales teams to secure design wins and develop NVIDIA product features through customer feedback and proof-of-concept evaluations.

What You’ll Be Doing

• Collaborate with clients, engineers, and architects on ML/DL model optimization.
• Perform proof-of-concept evaluations on GPU architectures.
• Work with ML researchers and developers on business-impacting workflows.
• Facilitate rapid resolution of customer issues ensuring high satisfaction.
• Create collateral such as notebooks and blogs applied to Finance use-cases.

What We Need To See

• Advanced degree in a relevant technical field or equivalent experience.
• 12+ years of experience as an ML/Software Engineer coding in Python and C++.
• Experience with ML/DL frameworks like TensorFlow, Jax, PyTorch, Spark, and Dask.
• Strong communication skills with technical presentation capabilities.
• A self-starter passion for continuous learning and sharing insights.

Ways To Stand Out

• Expertise in Banking and Payments modeling techniques.
• Familiarity with NLP Generative and Agentic AI models.
• Experience deploying ML/DL models at scale on various cloud or on-prem setups.
• Proficiency with NVIDIA software libraries and GPU technologies.
• Knowledge of MLOps technologies such as Docker, Kubernetes, and data center deployments.

Key Skills/Competency

• Financial Services
• ML/DL
• GPU Computing
• Python
• C++
• TensorFlow
• Proof-of-concept
• Customer Engagement
• High-Performance Computing
• Data Science