Specialist, Data Architecture

As a Specialist, Data Architecture at Fiserv, you will be a key member of our team, utilizing your 6-8 years of extensive experience in AI and machine learning, specifically focusing on generative models and prompt engineering. Your primary responsibility will be to develop, implement, and optimize generative models like GANs and VAEs for various applications, enhancing our product offerings and providing value to our clients. You will stay updated with the latest advancements in generative AI and deep learning, collaborating with cross-functional teams to identify opportunities for leveraging generative AI in our products. Your role will involve designing and optimizing prompts used in AI models to enhance output quality and relevance, as well as analyzing model performance and user data to refine prompt strategies. Preprocessing large datasets for effective model training and validation will also be a crucial part of your responsibilities. To excel in this role, you should hold a Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field. Proficiency in programming languages like Python or R, along with experience in deep learning frameworks such as TensorFlow or PyTorch, is essential. A strong understanding of machine learning algorithms, statistical analysis, and excellent problem-solving skills will be beneficial for success in this position. Additionally, your ability to work in a fast-paced environment and effectively communicate complex ideas to non-technical stakeholders will be highly valued. While experience in the financial services industry is advantageous, familiarity with natural language processing (NLP) or computer vision (CV) applications would also be beneficial. Any contributions to open source projects or published research in generative AI will be considered a great asset. If you are excited about the opportunity to work with cutting-edge AI technologies and contribute to innovative solutions, we encourage you to apply using your legal name and complete the step-by-step profile while attaching your resume. At Fiserv, we are committed to diversity and inclusion, and we do not accept resume submissions from agencies outside of existing agreements. Be cautious of fraudulent job postings not affiliated with Fiserv, as we prioritize the security of your information and financial well-being. Any legitimate communications from Fiserv representatives will come from a verified Fiserv email address.,