Software Engineer-2 AI/ML
U.S. BankAbout the role
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
This position will be responsible for the analysis, design, testing, development and maintenance of best in class software experiences. The candidate is a self-motivated individual who can collaborate with a team and across the organization. The candidate takes responsibility of the software artifacts produced adhering to U.S. Bank standards in order to ensure minimal impact to the customer experience. The candidate will be adept with the agile software development lifecycle and DevOps principles.
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
- Performs analysis on failures, propose design changes, and encourage operational improvements
- Makes sound design/coding decisions keeping customer experience in the forefront
- Takes feedback from code review and apply changes to meet standards
- Conducts code reviews to provide guidance on engineering best practices and compliance with development procedures
- Accountable for ensuring all aspects of product development follow compliance and security best practices
- Exhibits relentless focus in software reliability engineering standards embedded into development standards
- Embraces emerging technology opportunities and contributes to the best practices in support of the bank’s technology transformation
- Contributes to a culture of innovation, collaboration and continuous improvement
- Reviews tasks critically and ensures they are appropriately prioritized and sized for incremental delivery; anticipates and communicates blockers and delays before they require escalation
Basic Qualifications
- Bachelor’s degree, or equivalent work experience
- Three to five 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:
Our approach to benefits and total rewards considers our team members’ whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following (some may vary based on role, location or hours):
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