Job DescriptionIn this role, you9ll apply strong technical judgment to choose the right approaches (including modern
LLM-based methods where appropriate), evaluate performance with rigorous metrics, and ensure solutions are
reliable, secure, and scalable in real-world environments. You9ll also contribute to improving data quality and feedback loops, monitoring models in production, and continuously iterating to reduce agent effort, shorten resolution times, and increase consistency and quality across operational workflows.
As an
Applied AI/ML Senior Associate in our
AI for Operations organization, you will help design, build, and scale
cutting-edge Natural Language Processing (NLP) solutions that improve experiences for both
customers and
internal agents supporting the bank9s day-to-day operations. You9ll work hands-on across the end-to-end model lifecycle-partnering with product, engineering, operations, and risk stakeholders to translate real operational needs into production-grade language capabilities such as intelligent search, summarization, classification, and next-best-action recommendations.
Job Responsibilities- Apply deep natural language processing (NLP) knowledge & experience and critical thinking skills and perform advanced analytics with the goal of solving complex and multi-faceted business problems.
- Contribute to the full product development lifecycle, including defining the objective and key product deliverables.
- Act as an advanced contributor in system development, computer algorithms, NLP and machine learning.
- Contribute to the continuous learning mindset of the organization by bringing in new knowledge, ideas, and perspectives.
Required qualifications, capabilities, and skills: - Undergraduate and master9s degrees in Computer Science, with training and work experience in LLM/NLP and search.
- Outstanding written and oral communication skills to present analytical findings and exercise influence among key project stakeholders.
- Advanced demonstratable programming skills of 2 years (masters or industry experience) on more than 1 programming language is required such as Spark, Python, Scala, Java.
- Can learn quickly programming in another programming language and seamlessly. Full understanding of and hands-on programming with data structures, algorithms, operating systems, compilers, databases, and systems.
Preferred qualifications, capabilities, and skills: - Undergraduate and master9s degree in computer science with concentration in NLP or Search experience.
- Optional, great to have - experience in developing large-scale machine learning solutions based on big data to solve real world problems (e.g. Classification, Regression, or Recommender Systems).
About the TeamOur Consumer & Community Banking Group depends on innovators like you to serve consumers, small businesses, municipalities and non-profits. You9ll support the delivery of award winning tools and services that cover everything from personal and small business banking as well as lending, mortgages, credit cards, payments, auto finance and investment advice. This group is also focused on developing and delivering cutting edged mobile applications, digital experiences and next generation banking technology solutions to better serve our clients and customers.
