Financial Services Solutions Architect

Job Summary

Working remotely in a full-time capacity, the Financial Services Solutions Architect will partner with engineering and sales teams to secure design wins, perform proof-of-concepts for machine learning models, and drive customer success using NVIDIA technology.

Key responsibilities

• Collaborate with NVIDIA teams to develop product features based on customer feedback and secure design wins
• Conduct in-depth analysis and optimization of machine learning models alongside clients and engineers
• Create collateral for finance industry use-cases, focusing on machine learning and deep learning applications

Required qualifications

• MS/PhD in Computer Science, Engineering, Mathematics, or equivalent experience
• 5+ years of experience as an ML/Software Engineer with proficiency in Python and C++
• Experience with ML/DL frameworks such as PyTorch, TensorFlow, and Spark
• Ability to communicate technical concepts through blog posts and GitHub
• Experience deploying ML/DL models at scale on cloud or HPC clusters