Lead Software Engineer (AI/ML)

At U.S. Bank, we’re on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed.  We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at—all from Day One.

Job Description

U.S. Bank is looking for a Lead Software Engineer (AI/ML) to join our point of sale (POS) solutions team. The POS team supports a cloud/SAAS based product with a target audience of small to medium sized businesses. In this role, the candidate will be part of an Agile team, developing a next generation data framework for our POS product. The candidate will also help develop a big data pipeline/data analytics platform, that will integrate with other bank products, as well as solve critical customer issue. Selected candidate will have strong coding skills in Java and/or Python, as well as experience with Micro Services and cloud technologies.

Essential Responsibilities
- Responsible for designing, developing, testing, operating and maintaining products.
- Takes full stack ownership by consistently writing production-ready and testable code.
- Consistently creates optimal design adhering to architectural best practices; considers scalability, reliability and performance of systems/contexts affected when defining technical designs.

- Applying machine learning and new AI technologies to software products, develop and shape our technical strategy to further grow digital solutions for business banking segment
- Architect/design infra and software environments needed to both build and run machine learning models and online services
- Develop and implement efficient and scalable machine learning pipelines and workflows for training, validation, and deployment of models.
- Design and build rule engine, enhance it with AI capabilities
- Build shared components and/or frameworks that improve engineering productivity across the organization
- Design and implement monitoring and testing frameworks to ensure the accuracy, reliability, and performance of machine learning models in production environments
- Work with other engineering teams to integrate machine learning models into applications and services.
- Deploy and maintain ML Models in production.
- Stay up-to-date with the latest trends and best practices in MLOps, machine learning, and GenAI.
- Experience in banking industry is preferred.

Basic Qualifications
- Bachelor's degree, or equivalent work experience
- Six to eight years of relevant experience

Preferred Skills/Experience
- Strong programming skills in Python and/or Java required
- Strong SQL skills and database knowledge required

- Experience with large scale real-time data ingestion and processing
- Clear understanding of big data system concept and design methodology

- Experience in MLOps, machine learning, and GenAI.

- Experience with AI/ML libraries and frameworks such as scikit-learn, TensorFlow, Keras, and Darts or equivalent.
- Experience with Gen AI (SLM, LLM, embedding and RAG) and popular frameworks such as langchain or equivalent.
- Experience with Azure Synapse, Azure ML Studio, Azure Open AI services and Databricks
- Knowledge with modern Server architecture, such as Spring Boot, Spring
- Have a solid theoretical and engineering foundation in computer science, machine learning or computer vision, Hands-on with ML pipeline and infra, data.
- Knowledge of rules based and machine learning recommender systems.
- Experience in building microservices, will be a plus
- Familiarity with Docker/Kubernetes will be a plus
- Experience in banking industry is preferred.

Location Expectations

The role offers a hybrid/flexible schedule, which means there's an in-office expectation of 3 or more days per week and the flexibility to work outside the office location for the other days.  

If there’s anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants.

Benefits: