Solution Architect, Financial Services

NVIDIA supports financial institutions by providing AI-driven solutions to a range of investment processes, payments, strategies, portfolio management, among other activities. Using advanced AI technology, NVIDIA enables financial firms by strategically leveraging the power of computing in their daily business, decision-making, analytics, and services.

We are looking for a Data Scientist with strong understanding of the financial services industry to be based in France. As part of the Solutions Architecture team, you will be a trusted technical advisor to our customers, driving the latest deep learning and machine learning breakthroughs to enable the world's most successful financial institutions.

What you'll be doing:

• Support customers in using NVIDIA products and develop GPU-accelerated solutions

• Implementing proof of concept solutions, present technical challenges and provide guidance

• Build usecases and demos applied to Finance industry such as Generative AI, recommender, GAN, GNN, Quantitative Finance, etc. by working closely with customers

• Support Business Development and Sales teams. Provide feedback and collaborate with engineering, product and research teams.

• Deliver trainings, hackathons, demos and conference presentations on NVIDIA solutions and platforms

What we need to see:

• BS/MS/PhD degree in Computer Science, engineering, or related technical field 

• 3+ years of experience with AI, ML, DL, NLP, and/or Generative AI

• Experience working with the Financial Services Industry: banks, hedge funds, etc

• Good Python programming skills

• Experience in developing or using major deep learning frameworks (e.g., PyTorch, Tensorflow)

• Familiarity with containers, numerical libraries, modular software design, version control, GitHub

• Solid written and oral communications skills and familiarity with collaborative environments

• Team players, creative abilities, can learn and adapt quickly

Ways to stand out from the crowd:

• Built LLM pipelines and had some exposure to trading

• Relevant data science experience in retail finance or payments

• Skilled in deploying ML/DL models at scale on public cloud computing clusters in production

• Development experience with NVIDIA software libraries and GPUs

• Knowledge of MLOps technologies

NVIDIA is one of the technology industry's most desirable employers. If you're a creative person with a genuine passion for AI and accelerated computing, we want to hear from you. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. We encourage diversity in candidates’ profiles. If you think you have the relevant skills and experience for this job, we encourage you to apply even if you lack some of the requirements listed above.